Publications An assessment of data-centric methods for label noise identification in remote sensing data sets F Kröber, G Hoxha, R Roscher arXiv preprint arXiv:2603.16835, 2026 Core-set selection for data-efficient land cover segmentation K Nogueira, A Zaytar, W Ma, R Roscher, R Hänsch, C Robinson, A Ortiz, ... IEEE Access, 2026 How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information? AK Edrich, A Yildiz, R Roscher, J Kowalski Georisk: Assessment and Management of Risk for Engineered Systems and …, 2026 Self-Supervised and Unsupervised Multispectral Anomaly Detection for Unknown Substance and Surface Defect Identification C Beyaz, M Farag, P Schütt, T Hecking, J Grzesiak, C Geiß, R Roscher Northern Lights Deep Learning Conference 2026, 2026 SimGroupAttn: Similarity-Guided Group Attention for Vision Transformer to Incorporate Population Information in Plant Disease Detection W Wu, R Roscher, N Tötsch Northern Lights Deep Learning Conference 2026, 2026 A Computer Vision Dataset for Pollinator Detection under Real Field Conditions YL Chong, P Nachtweide, J Bauer, A Hamm, J Kierdorf, L Drees, ... bioRxiv, 2025.10. 27.682286, 2025 Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification M Farag, A Emam, J Leonhardt, R Roscher Computers and Electronics in Agriculture 237, 110559, 2025 NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability A Emam, M Farag, M Rußwurm, R Roscher DAGM German Conference on Pattern Recognition, 571-585, 2025 LC-SLab--An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels J Leonhardt, J Gall, R Roscher arXiv preprint arXiv:2509.15868, 2025 Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery A Emam, R Roscher Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025 Mapping Plant Functional Traits with Convolutional Neural Networks Trained on Spectral Images of Discrete Anisotropic Radiative Transfer Model Z Malenovský, L Casuccio, B Hoodt, O Regaieg, TQ Nguyen, R Roscher, ... IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium …, 2025 Increased synchronization of Antarctic and global climate across the Mid-Pleistocene Transition–implications for the carbon cycle ME Weber, R Roscher, A Timmermann, PU Clark, KS Yun, NR Golledge, ... Goldschmidt 2025 Conference, 2025 ClimSat–A diffusion autoencoder model for climate-conditional satellite image editing J Leonhardt, J Gall, R Roscher Science of Remote Sensing 11, 100235, 2025 Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification TT Stomberg, LA Reißner, MG Schultz, R Roscher Machine Learning with Applications 20, 100653, 2025 Graph Neural Networks for Crop Cover Mapping E Donmez Altindal, J Leonhardt, R Roscher, T Heckelei, H Storm EGU General Assembly Conference Abstracts, EGU25-11619, 2025 Microplastic incorporation into soil aggregates: Insights from two-year field experiments in European agricultural topsoils M Braun, M Gross, C Bogner, L Hennig, R Heyse, R Hurley, J Leonhardt, ... EGU General Assembly Conference Abstracts, EGU25-16100, 2025 Explainability of subfield level crop yield prediction using remote sensing H Najjar, M Miranda, M Nuske, R Roscher, A Dengel IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2025 A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning A Emam, M Farag, J Kierdorf, L Klingbeil, U Rascher, R Roscher European Conference on Computer Vision Workshops, 31-45, 2025 Synchronization of Antarctic and global climate began 1.5 million years ago ME Weber, R Roscher, A Timmermann, PU Clark, KS Yun, NR Golledge, ... AGU Fall Meeting Abstracts 2024 (67), PP13C-067, 2024 Eddy identification from along-track altimeter data with multi-modal deep learning A Abulaitijiang, E Bolmer, R Roscher, J Kusche, L Fenoglio-Marc AGU Fall Meeting Abstracts 2024 (621), OS31C-0621, 2024 Better, Not Just More: Data-Centric Machine Learning for Earth Observation R Roscher, M Russwurm, C Gevaert, M Kampffmeyer, JA Dos Santos, ... IEEE Geoscience and Remote Sensing Magazine, 2024 Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction J Kierdorf, TT Stomberg, L Drees, U Rascher, R Roscher Frontiers in Artificial Intelligence 7, 1416323, 2024 A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning AK Edrich, A Yildiz, R Roscher, A Bast, F Graf, J Kowalski Natural Hazards 120 (9), 8953-8982, 2024 Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks L Drees, DT Demie, MR Paul, J Leonhardt, SJ Seidel, TF Döring, ... Plant Methods 20 (1), 93, 2024 Assessment of soil salinity using explainable machine learning methods and Landsat 8 images S Aksoy, E Sertel, R Roscher, A Tanik, N Hamzehpour International Journal of Applied Earth Observation and Geoinformation 130 …, 2024 A standardized, globally applicable method for detecting spatial patterns at alpine treeline ecotones N Prakash, R Roscher, MY Bader EGU24, 2024 Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry E Bolmer, A Abulaitijiang, J Kusche, R Roscher Frontiers in Artificial Intelligence 7, 1298283, 2024 Confident naturalness explanation (CNE): a framework to explain and assess patterns forming naturalness A Emam, M Farag, R Roscher IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2024 Meta-learning to address diverse Earth observation problems across resolutions M Russwurm, S Wang, B Kellenberger, R Roscher, D Tuia Communications Earth & Environment 5 (1), 37, 2024 Explain it to me! On the Use of Explainable Machine Learning for the Agricultural and Environmental Sciences R Roscher AI4GOOD webinar series on AI for Earth and Sustainability Science, 2024 Start-up Nation Israel meets NRW–How Can AI Revolutionize Agriculture? R Roscher NRW. Global Business and KI. NRW, 2024 Opportunities and Future Directions in Machine Learning and Data Management for Earth Observation R Roscher Workshop Machine Learning and Data Management for Earth Observation, 2024 On the benefit of explainable machine learning for the agricultural and environmental sciences R Roscher Pflanzenwissenschaften, 2024 Beyond Heatmapping: On the Benefit of Explainable Machine Learning for the Agricultural and Environmental Sciences R Roscher Workshop Machine Learning and Data Management for Earth Observation, 2024 Machine learning based landslide susceptibility assessment: challenges of study design and opportunities for early warning AKM Edrich, J Kowalski, R Roscher Fachgruppe für Geowissenschaften und Geographie, 2024 Data-centric digital agriculture: A perspective R Roscher, L Roth, C Stachniss, A Walter arXiv preprint arXiv:2312.03437, 2023 Pliocene-Pleistocene ice-ocean-atmosphere dynamics in Iceberg Alley and synchronization with global climate ME Weber, R Roscher, PU Clark, A Timmermann, NR Golledge, ... AGU Fall Meeting Abstracts 2023 (1257), C21D-1257, 2023 Leveraging activation maximization and generative adversarial training to recognize and explain patterns in natural areas in satellite imagery A Emam, TT Stomberg, R Roscher IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2023 Few-Shot Remote Sensing Image Classification with Meta-Learning S Sharma, R Roscher, M Riedel, G Cavallaro Authorea Preprints, 2023 Analyzing the behavior of cauliflower harvest-readiness models by investigating feature relevances N Penzel, J Kierdorf, R Roscher, J Denzler 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023 A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023 Leveraging bioclimatic context for supervised and self-supervised land cover classification J Leonhardt, L Drees, J Gall, R Roscher DAGM German Conference on Pattern Recognition, 227-242, 2023 Location-aware adaptive normalization: a deep learning approach for wildfire danger forecasting MHS Eddin, R Roscher, J Gall IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023 Meteor: Meta-learning connecting earth problems observed from space MC Russwurm, R Roscher, BA Kellenberger, S Wang, D Tuia The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 Framework for creating daily semantic segmentation maps of classified eddies using SLA along-track altimetry data E Bolmer, A Abulaitijiang, L Fenoglio-Marc, J Kusche, R Roscher EGU General Assembly Conference Abstracts, EGU-13367, 2023 Mapinwild: A remote sensing dataset to address the question of what makes nature wild [software and data sets] B Ekim, TT Stomberg, R Roscher, M Schmitt IEEE Geoscience and Remote Sensing Magazine 11 (1), 103-114, 2023 GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER J Kierdorf, LV Junker‐Frohn, M Delaney, MD Olave, A Burkart, H Jaenicke, ... Journal of Field Robotics 40 (2), 173-192, 2023 Explainable machine learning J Garcke, R Roscher Machine Learning and Knowledge Extraction 5 (1), 169-170, 2023 Time-dependent shallow landslide hazard mapping using an event-based machine learning approach AKM Edrich, A Yildiz, J Kowalski, R Roscher 3. JTC1 workshop-Impact of global changes on landslide hazard and risk, 2023 Generating the Unseen and Explaining the Seen R Roscher Internal Workshop on AI in Agriculture and Crop Yield Forecasting, 2023 Can AI help quantify pollinator ecosystem services R Roscher PhenoRob Seminar Series, 2023 Explainable Machine Learning for Remote Sensing R Roscher IEEE GRSS IADF 2023 School on Computer Vision for Earth Observation, 2023 FAIR shallow landslide hazard mapping AK Edrich, A Yildiz, R Roscher, J Kowalski XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 Confident naturalness explanation (cne): A framework to explain and assess patterns forming naturalness in fennoscandia with confidence A Emam, R Roscher, M Farag Northern Lights Deep Learning Conference, 2023 Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery TT Stomberg, J Leonhardt, I Weber, R Roscher Frontiers in Artificial Intelligence 6, 1278118, 2023 Inductive conformal prediction for harvest-readiness classification of cauliflower plants: A comparative study of uncertainty quantification methods M Farag, J Kierdorf, R Roscher Proceedings of the IEEE/CVF International Conference on Computer Vision, 651-659, 2023 Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower J Kierdorf, R Roscher IEEE Geoscience and Remote Sensing Letters 20, 2023 Exploring self-attention for crop-type classification explainability I Obadic, R Roscher, DAB Oliveira, XX Zhu arXiv preprint arXiv:2210.13167, 2022 Probabilistic biomass estimation with conditional generative adversarial networks J Leonhardt, L Drees, P Jung, R Roscher DAGM German Conference on Pattern Recognition, 479-494, 2022 Time dependent image generation of plants from incomplete sequences with cnn-transformer L Drees, I Weber, M Rußwurm, R Roscher DAGM German Conference on Pattern Recognition, 495-510, 2022 Controlled multi-modal image generation for plant growth modeling M Miranda, L Drees, R Roscher 2022 26th International Conference on Pattern Recognition (ICPR), 5118-5124, 2022 Occlusion sensitivity analysis of neural network architectures for eddy detection E Bolmer, A Abulaitijiang, J Kusche, R Roscher IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection I Weber, J Bongartz, R Roscher IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 Improving generalization for few-shot remote sensing classification with meta-learning S Sharma, R Roscher, M Riedel, S Memon, G Cavallaro IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 Global, high-resolution mapping of tropospheric ozone–explainable machine learning and impact of uncertainties C Betancourt, TT Stomberg, AK Edrich, A Patnala, MG Schultz, R Roscher, ... Geoscientific Model Development 15 (11), 4331-4354, 2022 Image-based analysis of yield parameters in viticulture L Zabawa, A Kicherer, L Klingbeil, R Töpfer, R Roscher, H Kuhlmann Biosystems Engineering 218, 94-109, 2022 Machine learning-based identification and classification of ocean eddies E Bolmer, A Abulaitijiang, J Kusche, L Fenoglio-Marc, S Stolzenberger, ... EGU General Assembly Conference Abstracts, EGU22-9281, 2022 A Whale’s Tail-Finding the Right Whale in an Uncertain World R Roscher xxAI-Beyond Explainable AI: International Workshop, Held in Conjunction with …, 2022 A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility AKM Edrich, A Yildiz, R Roscher, J Kowalski Universitätsbibliothek der RWTH Aachen, 2022 Eddy identification from along track altimeter data using deep learning: EDDY project A Abulaitijiang, E Bolmer, R Roscher, J Kusche, L Fenoglio, ... EGU General Assembly Conference Abstracts, EGU22-9452, 2022 Exploring wilderness characteristics using explainable machine learning in satellite imagery TT Stomberg, T Stone, J Leonhardt, I Weber, R Roscher arXiv preprint arXiv:2203.00379, 2022 Explainable machine learning reveals capabilities, redundancy, and limitations of a geospatial air quality benchmark dataset S Stadtler, C Betancourt, R Roscher Machine learning and knowledge extraction 4 (1), 150-171, 2022 A Whale’s Tail-Finding the Right Whale in an Uncertain World D Marcos, J Kierdorf, T Cheeseman, D Tuia, R Roscher International Workshop on Extending Explainable AI Beyond Deep Models and …, 2022 Detection of Anomalous Grapevine Berries Using Variational Autoencoders M Miranda, L Zabawa, A Kicherer, L Strothmann, U Rascher, R Roscher Frontiers in Plant Science, 1483, 2022 Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks J Kierdorf, I Weber, A Kicherer, L Zabawa, L Drees, R Roscher Frontiers in Artificial Intelligence 5, 2022 Long-term drought monitoring of the Zayandehrud River basin (central Iran) using hydroclimatological models and satellite observations M Babadi, S Iran Pour, R Roscher, A Amiri-Simkooei, H Karimi Journal of Applied Remote Sensing 16 (1), 014504-014504, 2022 Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision M Günder, FR Ispizua Yamati, J Kierdorf, R Roscher, AK Mahlein, ... GigaScience 11, giac054, 2022 KI: STE Project− AI Strategy for Earth System Data S Stadtler, J Kowalski, M Abel, R Roscher, S Crewell, B Gräler, S Kollet, ... Machine learning based prediction of shallow landslides AK Edrich, A Yildiz, R Roscher, J Kowalski AGU Fall Meeting Abstracts 2021, NH34A-07, 2021 Deep Self‐taught Learning in Remote Sensing R Roscher Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 Maneuver-based trajectory prediction for self-driving cars using spatio-temporal convolutional networks B Mersch, T Höllen, K Zhao, C Stachniss, R Roscher 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 Artifive-potsdam: a benchmark for learning with artificial objects for improved aerial vehicle detection I Weber, J Bongartz, R Roscher 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1214 …, 2021 AQ-Bench: a benchmark dataset for machine learning on global air quality metrics C Betancourt, T Stomberg, R Roscher, MG Schultz, S Stadtler Earth System Science Data 13 (6), 3013-3033, 2021 Toward a collective agenda on AI for earth science data analysis D Tuia, R Roscher, JD Wegner, N Jacobs, X Zhu, G Camps-Valls IEEE Geoscience and Remote Sensing Magazine 9 (2), 88-104, 2021 Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks L Drees, LV Junker-Frohn, J Kierdorf, R Roscher Computers and Electronics in Agriculture, 2021 Artificial and beneficial–exploiting artificial images for aerial vehicle detection I Weber, J Bongartz, R Roscher ISPRS Journal of Photogrammetry and Remote Sensing 175, 158-170, 2021 Global fine resolution mapping of ozone metrics through explainable machine learning C Betancourt, S Stadtler, T Stomberg, AK Edrich, A Patnala, R Roscher, ... EGU General Assembly, 2021 jUngle-Net: Using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery T Stomberg, I Weber, M Schmitt, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks J Bömer, L Zabawa, P Sieren, A Kicherer, L Klingbeil, U Rascher, ... European Conference on Computer Vision - CVPPP Workshop, 347-359, 2020 Counting of grapevine berries in images via semantic segmentation using convolutional neural networks L Zabawa, A Kicherer, L Klingbeil, R Töpfer, H Kuhlmann, R Roscher ISPRS Journal of Photogrammetry and Remote Sensing 164, 73-83, 2020 Explainable machine learning for scientific insights and discoveries R Roscher, B Bohn, MF Duarte, J Garcke Ieee Access 8, 42200-42216, 2020 OPTIKO–Optimierung des Blumenkohlanbaus L Junker-Frohn, A Burkart, M Delaney, R Roscher, H Jaenicke, U Rascher, ... Ideenfutter Expo, foodhub. NRW, 2020 Explain it to me - Facing Remote Sensing Challenges in the Bio- and Geosciences with Explainable Machine Learning R Roscher, B Bohn, MF Duarte, J Garcke ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 MULTI-MODAL DEEP LEARNING WITH SENTINEL-3 OBSERVATIONS FOR THE DETECTION OF OCEANIC INTERNAL WAVES L Drees, J Kusche, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES R Roscher, M Volpi, C Mallet, L Drees, JD Wegner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 LEARNING WITH REAL-WORLD AND ARTIFICIAL DATA FOR IMPROVED VEHICLE DETECTION IN AERIAL IMAGERY I Weber, J Bongartz, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 What Identifies a Whale by its Fluke? On the Benefit of Interpretable Machine Learning for Whale Identification J Kierdorf, J Garcke, J Behley, T Cheeseman, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 Detection of grapevine in images using fully convolutional Neural Nets. L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Roscher, R Töpfer, ... Detektion von Weintrauben in Bildern mit Hilfe von Fully Convolutional Neural Nets M Pflanz, M Schirrmann, C Wellhausen, H Nordmeyer, H Kuhlmann, ... 25. Workshop Computer-Bildanalyse in der Landwirtschaft: 17. April 2019 …, 2019 Hyperspectral plant disease forecasting using generative adversarial networks A Förster, J Behley, J Behmann, R Roscher International Geoscience and Remote Sensing Symposium, 2019 Detection of anomalous grapevine berries using all-convolutional autoencoders L Strothmann, U Rascher, R Roscher International Geoscience and Remote Sensing Symposium, 2019 Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Töpfer, H Kuhlmann, ... CVPR Workshop on Computer Vision Problems in Plant Phenotyping, 2019 Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories J Oehrlein, A Förster, D Schunck, Y Dehbi, R Roscher, JH Haunert ISPRS Annals of the Photogrammetry, IV-4/W7, Remote Sensing and Spatial …, 2018 Foreword to the special issue on machine learning for geospatial data analysis JD Wegner, R Roscher, M Volpi, F Veronesi ISPRS International Journal of Geo-Information 7 (4), 147, 2018 Ocean Eddy Identification and Tracking using Neural Networks K Franz, R Roscher, A Milioto, S Wenzel, J Kusche International Geoscience and Remote Sensing Symposium, 2018 Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification L Drees, R Roscher, S Wenzel Photogrammetric Engineering & Remote Sensing 84 (5), 279-286, 2018 Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data R Hagensieker, R Roscher, J Rosentreter, B Jakimow, B Waske International journal of applied earth observation and geoinformation 63 …, 2017 STAR: Spatio-temporal altimeter waveform retracking using sparse representation and conditional random fields R Roscher, B Uebbing, J Kusche Remote sensing of Environment 201, 148-164, 2017 Subpixel mapping of urban areas using EnMAP data and multioutput support vector regression J Rosentreter, R Hagensieker, A Okujeni, R Roscher, PD Wagner, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 Sparse Representation-based Archetypal Graphs for Spectral Clustering R Roscher, L Drees, S Wenzel IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 Sea Level Anomaly Prediction using Recurrent Neural Networks A Braakmann-Folgmann, R Roscher, S Wenzel, B Uebbing, J Kusche Proceedings of the 2017 conference on Big Data from Space, 2017 Deep Self-taught Learning for Remote Sensing Image Classification A Bettge, R Roscher, S Wenzel Proceedings of the 2017 conference on Big Data from Space, 2017 Mapping raised bogs with an iterative one-class classification approach B Mack, R Roscher, S Stenzel, H Feilhauer, S Schmidtlein, B Waske ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64, 2016 On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3d plant models R Roscher, J Behmann, AK Mahlein, L Plümer 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016 Investigation of latent traces using infrared reflectance hyperspectral imaging T Schubert, S Wenzel, R Roscher, C Stachniss ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 Detection of Disease Symptoms on Hyperspectral 3D Plant Models R Roscher, J Behmann, AK Mahlein, J Dupuis, H Kuhlmann, L Plümer ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2016 Evaluating coastal sea surface heights based on a novel sub-waveform approach using sparse representation and conditional random fields B Uebbing, R Roscher, J Kusche EGU General Assembly Conference Abstracts, EPSC2016-11729, 2016 Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images R Roscher, B Waske IEEE Transactions on Geoscience and Remote Sensing 54 (3), 2016 Discriminative Archetypal Self-taught Learning for Multispectral Landcover Classification R Roscher, S Wenzel, B Waske 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 2016 Statistical Inference, Learning and Models in Big Data B Franke, JF Plante, R Roscher, A Lee, C Smyth, A Hatefi, F Chen, E Gil, ... International Statistical Review, 2016 Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields R Roscher, B Uebbing, J Kusche 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 Improving Sea Surface Height Estimation Using Spatio-Temporal Altimeter Waveform Retracking via Sparse Representation and Conditional Random Fields R Roscher, B Uebbing, J Kusche Landcover Classification with Self-taught Learning on Archetypal Dictionaries R Roscher, C Römer, B Waske, L Plümer IEEE International Geoscience and Remote Sensing Symposium, 2015 Can i trust my one-class classification? B Mack, R Roscher, B Waske Remote Sensing 6 (9), 8779-8802, 2014 Shapelet-based sparse image representation for landcover classification of hyperspectral data R Roscher, B Waske 2014 8th IAPR Workshop on Pattern Reconition in Remote Sensing, 1-6, 2014 Image based evaluation for the detection of cluster parameters in grapevine A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer XI International Conference on Grapevine Breeding and Genetics 1082, 335-340, 2014 Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields R Roscher, B Waske 2014 IEEE Geoscience and Remote Sensing Symposium, 3674-3677, 2014 Initial steps for high-throughput phenotyping in vineyards K Herzog, R Roscher, M Wieland, A Kicherer, T Läbe, W Förstner, ... VITIS-Journal of Grapevine Research 53 (1), 1, 2014 Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields R Roscher, K Herzog, A Kunkel, A Kicherer, R Töpfer, W Förstner Computers and Electronics in Agriculture 100, 148-158, 2014 BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries A Kicherer, R Roscher, K Herzog, S Šimon, W Förstner, R Töpfer VITIS-Journal of Grapevine Research 52 (3), 129, 2013 BAT (Beeren Analyse Tool)-ein Werkzeug zur Phänotypisierung von Beerenmerkmalen der Rebe A Kicherer, R Roscher, K Herzog, S Simon, R Töpfer Geilweilerhof aktuell: Mitteilungen des Instituts für Rebenzüchtung …, 2013 High-throughput phenotyping of yield parameters in the vineyard-first steps. A Kicherer, K Herzog, R Roscher, M Wieland, P Rüger, H Kuhlmann, ... Sequential learning using incremental import vector machines for semantic segmentation R Roscher Rheinische Friedrich-Wilhelms-Universität Bonn, Landwirtschaftliche Fakultät …, 2013 HT-Phenotyping methods for yield parameters in grapevine A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer Fünftes Nachwuchswissenschaftlerforum 2012, 39, 2012 I2VM: Incremental import vector machines R Roscher, W Förstner, B Waske Image and Vision Computing 30 (4-5), 263-278, 2012 Incremental import vector machines for classifying hyperspectral data R Roscher, B Waske, W Forstner IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3463-3473, 2012 Die Aufnahme von Stereobildern und Entwicklung automatisierter Verfahren zur Bildinterpretation für eine Hochdurchsatz-Phänotypisierung von Reben im Freiland K Herzog, R Roscher, M Wieland, M Klodt, H Kuhlmann, D Cremers, ... Geilweilerhof aktuell: Mitteilungen des Instituts für Rebenzüchtung …, 2012 Object tracking by segmentation using incremental import vector machines R Roscher, J Siegemund, F Schindler, W Förstner Technical report, Institute of Geodesy and Geoinformation, Department of …, 2012 Incremental import vector machines for large area land cover classification R Roscher, B Waske, W Förstner 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 What would you look like in Springfield? Linear Transformations between High-Dimensional Spaces R Roscher, F Schindler, W Förstner Import vector machines based classification of multisensor remote sensing data B Waske, R Roscher, S Klemenjak 2011 IEEE International Geoscience and Remote Sensing Symposium, 2931-2934, 2011 High dimensional correspondences from low dimensional manifolds–an empirical comparison of graph-based dimensionality reduction algorithms R Roscher, F Schindler, W Förstner Asian Conference on Computer Vision, 334-343, 2010 Kernel discriminative random fields for land cover classification R Roscher, B Waske, W Förstner 2010 IAPR Workshop on Pattern Recognition in Remote Sensing, 1-5, 2010 Multiclass bounded logistic regression–efficient regularization with interior point method R Roscher, W Förstner Technical report, 2009 Improving image segmentation using multiple view analysis M Drauschke, R Roscher, T Labe, W Forstner Object Extraction for 3D City Models, Road Databases and Traffic Monitoring …, 2009 Machine Learning with Applications TT Stomberg, LA Reißner, MG Schultz, R Roscher Transformer-Based Reliable Explainability (T-ReX): A Framework to Reliably Interpret Naturalness using Foundation Models A Emam, M Farag, M Rußwurm, R Roscher SPARSELY LABELED LAND COVER CLASSIFICATION WITH OVERSEGMENTATION-BASED GRAPH UNets J Leonhardt, R Roscher
An assessment of data-centric methods for label noise identification in remote sensing data sets F Kröber, G Hoxha, R Roscher arXiv preprint arXiv:2603.16835, 2026
Core-set selection for data-efficient land cover segmentation K Nogueira, A Zaytar, W Ma, R Roscher, R Hänsch, C Robinson, A Ortiz, ... IEEE Access, 2026
How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information? AK Edrich, A Yildiz, R Roscher, J Kowalski Georisk: Assessment and Management of Risk for Engineered Systems and …, 2026
Self-Supervised and Unsupervised Multispectral Anomaly Detection for Unknown Substance and Surface Defect Identification C Beyaz, M Farag, P Schütt, T Hecking, J Grzesiak, C Geiß, R Roscher Northern Lights Deep Learning Conference 2026, 2026
SimGroupAttn: Similarity-Guided Group Attention for Vision Transformer to Incorporate Population Information in Plant Disease Detection W Wu, R Roscher, N Tötsch Northern Lights Deep Learning Conference 2026, 2026
A Computer Vision Dataset for Pollinator Detection under Real Field Conditions YL Chong, P Nachtweide, J Bauer, A Hamm, J Kierdorf, L Drees, ... bioRxiv, 2025.10. 27.682286, 2025
Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification M Farag, A Emam, J Leonhardt, R Roscher Computers and Electronics in Agriculture 237, 110559, 2025
NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability A Emam, M Farag, M Rußwurm, R Roscher DAGM German Conference on Pattern Recognition, 571-585, 2025
LC-SLab--An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels J Leonhardt, J Gall, R Roscher arXiv preprint arXiv:2509.15868, 2025
Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery A Emam, R Roscher Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025
Mapping Plant Functional Traits with Convolutional Neural Networks Trained on Spectral Images of Discrete Anisotropic Radiative Transfer Model Z Malenovský, L Casuccio, B Hoodt, O Regaieg, TQ Nguyen, R Roscher, ... IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium …, 2025
Increased synchronization of Antarctic and global climate across the Mid-Pleistocene Transition–implications for the carbon cycle ME Weber, R Roscher, A Timmermann, PU Clark, KS Yun, NR Golledge, ... Goldschmidt 2025 Conference, 2025
ClimSat–A diffusion autoencoder model for climate-conditional satellite image editing J Leonhardt, J Gall, R Roscher Science of Remote Sensing 11, 100235, 2025
Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification TT Stomberg, LA Reißner, MG Schultz, R Roscher Machine Learning with Applications 20, 100653, 2025
Graph Neural Networks for Crop Cover Mapping E Donmez Altindal, J Leonhardt, R Roscher, T Heckelei, H Storm EGU General Assembly Conference Abstracts, EGU25-11619, 2025
Microplastic incorporation into soil aggregates: Insights from two-year field experiments in European agricultural topsoils M Braun, M Gross, C Bogner, L Hennig, R Heyse, R Hurley, J Leonhardt, ... EGU General Assembly Conference Abstracts, EGU25-16100, 2025
Explainability of subfield level crop yield prediction using remote sensing H Najjar, M Miranda, M Nuske, R Roscher, A Dengel IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2025
A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning A Emam, M Farag, J Kierdorf, L Klingbeil, U Rascher, R Roscher European Conference on Computer Vision Workshops, 31-45, 2025
Synchronization of Antarctic and global climate began 1.5 million years ago ME Weber, R Roscher, A Timmermann, PU Clark, KS Yun, NR Golledge, ... AGU Fall Meeting Abstracts 2024 (67), PP13C-067, 2024
Eddy identification from along-track altimeter data with multi-modal deep learning A Abulaitijiang, E Bolmer, R Roscher, J Kusche, L Fenoglio-Marc AGU Fall Meeting Abstracts 2024 (621), OS31C-0621, 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R Roscher, M Russwurm, C Gevaert, M Kampffmeyer, JA Dos Santos, ... IEEE Geoscience and Remote Sensing Magazine, 2024
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction J Kierdorf, TT Stomberg, L Drees, U Rascher, R Roscher Frontiers in Artificial Intelligence 7, 1416323, 2024
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning AK Edrich, A Yildiz, R Roscher, A Bast, F Graf, J Kowalski Natural Hazards 120 (9), 8953-8982, 2024
Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks L Drees, DT Demie, MR Paul, J Leonhardt, SJ Seidel, TF Döring, ... Plant Methods 20 (1), 93, 2024
Assessment of soil salinity using explainable machine learning methods and Landsat 8 images S Aksoy, E Sertel, R Roscher, A Tanik, N Hamzehpour International Journal of Applied Earth Observation and Geoinformation 130 …, 2024
A standardized, globally applicable method for detecting spatial patterns at alpine treeline ecotones N Prakash, R Roscher, MY Bader EGU24, 2024
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry E Bolmer, A Abulaitijiang, J Kusche, R Roscher Frontiers in Artificial Intelligence 7, 1298283, 2024
Confident naturalness explanation (CNE): a framework to explain and assess patterns forming naturalness A Emam, M Farag, R Roscher IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2024
Meta-learning to address diverse Earth observation problems across resolutions M Russwurm, S Wang, B Kellenberger, R Roscher, D Tuia Communications Earth & Environment 5 (1), 37, 2024
Explain it to me! On the Use of Explainable Machine Learning for the Agricultural and Environmental Sciences R Roscher AI4GOOD webinar series on AI for Earth and Sustainability Science, 2024
Start-up Nation Israel meets NRW–How Can AI Revolutionize Agriculture? R Roscher NRW. Global Business and KI. NRW, 2024
Opportunities and Future Directions in Machine Learning and Data Management for Earth Observation R Roscher Workshop Machine Learning and Data Management for Earth Observation, 2024
On the benefit of explainable machine learning for the agricultural and environmental sciences R Roscher Pflanzenwissenschaften, 2024
Beyond Heatmapping: On the Benefit of Explainable Machine Learning for the Agricultural and Environmental Sciences R Roscher Workshop Machine Learning and Data Management for Earth Observation, 2024
Machine learning based landslide susceptibility assessment: challenges of study design and opportunities for early warning AKM Edrich, J Kowalski, R Roscher Fachgruppe für Geowissenschaften und Geographie, 2024
Data-centric digital agriculture: A perspective R Roscher, L Roth, C Stachniss, A Walter arXiv preprint arXiv:2312.03437, 2023
Pliocene-Pleistocene ice-ocean-atmosphere dynamics in Iceberg Alley and synchronization with global climate ME Weber, R Roscher, PU Clark, A Timmermann, NR Golledge, ... AGU Fall Meeting Abstracts 2023 (1257), C21D-1257, 2023
Leveraging activation maximization and generative adversarial training to recognize and explain patterns in natural areas in satellite imagery A Emam, TT Stomberg, R Roscher IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2023
Few-Shot Remote Sensing Image Classification with Meta-Learning S Sharma, R Roscher, M Riedel, G Cavallaro Authorea Preprints, 2023
Analyzing the behavior of cauliflower harvest-readiness models by investigating feature relevances N Penzel, J Kierdorf, R Roscher, J Denzler 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023
Leveraging bioclimatic context for supervised and self-supervised land cover classification J Leonhardt, L Drees, J Gall, R Roscher DAGM German Conference on Pattern Recognition, 227-242, 2023
Location-aware adaptive normalization: a deep learning approach for wildfire danger forecasting MHS Eddin, R Roscher, J Gall IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023
Meteor: Meta-learning connecting earth problems observed from space MC Russwurm, R Roscher, BA Kellenberger, S Wang, D Tuia The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023
Framework for creating daily semantic segmentation maps of classified eddies using SLA along-track altimetry data E Bolmer, A Abulaitijiang, L Fenoglio-Marc, J Kusche, R Roscher EGU General Assembly Conference Abstracts, EGU-13367, 2023
Mapinwild: A remote sensing dataset to address the question of what makes nature wild [software and data sets] B Ekim, TT Stomberg, R Roscher, M Schmitt IEEE Geoscience and Remote Sensing Magazine 11 (1), 103-114, 2023
GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER J Kierdorf, LV Junker‐Frohn, M Delaney, MD Olave, A Burkart, H Jaenicke, ... Journal of Field Robotics 40 (2), 173-192, 2023
Explainable machine learning J Garcke, R Roscher Machine Learning and Knowledge Extraction 5 (1), 169-170, 2023
Time-dependent shallow landslide hazard mapping using an event-based machine learning approach AKM Edrich, A Yildiz, J Kowalski, R Roscher 3. JTC1 workshop-Impact of global changes on landslide hazard and risk, 2023
Generating the Unseen and Explaining the Seen R Roscher Internal Workshop on AI in Agriculture and Crop Yield Forecasting, 2023
Explainable Machine Learning for Remote Sensing R Roscher IEEE GRSS IADF 2023 School on Computer Vision for Earth Observation, 2023
FAIR shallow landslide hazard mapping AK Edrich, A Yildiz, R Roscher, J Kowalski XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023
Confident naturalness explanation (cne): A framework to explain and assess patterns forming naturalness in fennoscandia with confidence A Emam, R Roscher, M Farag Northern Lights Deep Learning Conference, 2023
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery TT Stomberg, J Leonhardt, I Weber, R Roscher Frontiers in Artificial Intelligence 6, 1278118, 2023
Inductive conformal prediction for harvest-readiness classification of cauliflower plants: A comparative study of uncertainty quantification methods M Farag, J Kierdorf, R Roscher Proceedings of the IEEE/CVF International Conference on Computer Vision, 651-659, 2023
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower J Kierdorf, R Roscher IEEE Geoscience and Remote Sensing Letters 20, 2023
Exploring self-attention for crop-type classification explainability I Obadic, R Roscher, DAB Oliveira, XX Zhu arXiv preprint arXiv:2210.13167, 2022
Probabilistic biomass estimation with conditional generative adversarial networks J Leonhardt, L Drees, P Jung, R Roscher DAGM German Conference on Pattern Recognition, 479-494, 2022
Time dependent image generation of plants from incomplete sequences with cnn-transformer L Drees, I Weber, M Rußwurm, R Roscher DAGM German Conference on Pattern Recognition, 495-510, 2022
Controlled multi-modal image generation for plant growth modeling M Miranda, L Drees, R Roscher 2022 26th International Conference on Pattern Recognition (ICPR), 5118-5124, 2022
Occlusion sensitivity analysis of neural network architectures for eddy detection E Bolmer, A Abulaitijiang, J Kusche, R Roscher IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection I Weber, J Bongartz, R Roscher IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
Improving generalization for few-shot remote sensing classification with meta-learning S Sharma, R Roscher, M Riedel, S Memon, G Cavallaro IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
Global, high-resolution mapping of tropospheric ozone–explainable machine learning and impact of uncertainties C Betancourt, TT Stomberg, AK Edrich, A Patnala, MG Schultz, R Roscher, ... Geoscientific Model Development 15 (11), 4331-4354, 2022
Image-based analysis of yield parameters in viticulture L Zabawa, A Kicherer, L Klingbeil, R Töpfer, R Roscher, H Kuhlmann Biosystems Engineering 218, 94-109, 2022
Machine learning-based identification and classification of ocean eddies E Bolmer, A Abulaitijiang, J Kusche, L Fenoglio-Marc, S Stolzenberger, ... EGU General Assembly Conference Abstracts, EGU22-9281, 2022
A Whale’s Tail-Finding the Right Whale in an Uncertain World R Roscher xxAI-Beyond Explainable AI: International Workshop, Held in Conjunction with …, 2022
A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility AKM Edrich, A Yildiz, R Roscher, J Kowalski Universitätsbibliothek der RWTH Aachen, 2022
Eddy identification from along track altimeter data using deep learning: EDDY project A Abulaitijiang, E Bolmer, R Roscher, J Kusche, L Fenoglio, ... EGU General Assembly Conference Abstracts, EGU22-9452, 2022
Exploring wilderness characteristics using explainable machine learning in satellite imagery TT Stomberg, T Stone, J Leonhardt, I Weber, R Roscher arXiv preprint arXiv:2203.00379, 2022
Explainable machine learning reveals capabilities, redundancy, and limitations of a geospatial air quality benchmark dataset S Stadtler, C Betancourt, R Roscher Machine learning and knowledge extraction 4 (1), 150-171, 2022
A Whale’s Tail-Finding the Right Whale in an Uncertain World D Marcos, J Kierdorf, T Cheeseman, D Tuia, R Roscher International Workshop on Extending Explainable AI Beyond Deep Models and …, 2022
Detection of Anomalous Grapevine Berries Using Variational Autoencoders M Miranda, L Zabawa, A Kicherer, L Strothmann, U Rascher, R Roscher Frontiers in Plant Science, 1483, 2022
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks J Kierdorf, I Weber, A Kicherer, L Zabawa, L Drees, R Roscher Frontiers in Artificial Intelligence 5, 2022
Long-term drought monitoring of the Zayandehrud River basin (central Iran) using hydroclimatological models and satellite observations M Babadi, S Iran Pour, R Roscher, A Amiri-Simkooei, H Karimi Journal of Applied Remote Sensing 16 (1), 014504-014504, 2022
Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision M Günder, FR Ispizua Yamati, J Kierdorf, R Roscher, AK Mahlein, ... GigaScience 11, giac054, 2022
KI: STE Project− AI Strategy for Earth System Data S Stadtler, J Kowalski, M Abel, R Roscher, S Crewell, B Gräler, S Kollet, ...
Machine learning based prediction of shallow landslides AK Edrich, A Yildiz, R Roscher, J Kowalski AGU Fall Meeting Abstracts 2021, NH34A-07, 2021
Deep Self‐taught Learning in Remote Sensing R Roscher Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
Maneuver-based trajectory prediction for self-driving cars using spatio-temporal convolutional networks B Mersch, T Höllen, K Zhao, C Stachniss, R Roscher 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Artifive-potsdam: a benchmark for learning with artificial objects for improved aerial vehicle detection I Weber, J Bongartz, R Roscher 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1214 …, 2021
AQ-Bench: a benchmark dataset for machine learning on global air quality metrics C Betancourt, T Stomberg, R Roscher, MG Schultz, S Stadtler Earth System Science Data 13 (6), 3013-3033, 2021
Toward a collective agenda on AI for earth science data analysis D Tuia, R Roscher, JD Wegner, N Jacobs, X Zhu, G Camps-Valls IEEE Geoscience and Remote Sensing Magazine 9 (2), 88-104, 2021
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks L Drees, LV Junker-Frohn, J Kierdorf, R Roscher Computers and Electronics in Agriculture, 2021
Artificial and beneficial–exploiting artificial images for aerial vehicle detection I Weber, J Bongartz, R Roscher ISPRS Journal of Photogrammetry and Remote Sensing 175, 158-170, 2021
Global fine resolution mapping of ozone metrics through explainable machine learning C Betancourt, S Stadtler, T Stomberg, AK Edrich, A Patnala, R Roscher, ... EGU General Assembly, 2021
jUngle-Net: Using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery T Stomberg, I Weber, M Schmitt, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021
Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks J Bömer, L Zabawa, P Sieren, A Kicherer, L Klingbeil, U Rascher, ... European Conference on Computer Vision - CVPPP Workshop, 347-359, 2020
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks L Zabawa, A Kicherer, L Klingbeil, R Töpfer, H Kuhlmann, R Roscher ISPRS Journal of Photogrammetry and Remote Sensing 164, 73-83, 2020
Explainable machine learning for scientific insights and discoveries R Roscher, B Bohn, MF Duarte, J Garcke Ieee Access 8, 42200-42216, 2020
OPTIKO–Optimierung des Blumenkohlanbaus L Junker-Frohn, A Burkart, M Delaney, R Roscher, H Jaenicke, U Rascher, ... Ideenfutter Expo, foodhub. NRW, 2020
Explain it to me - Facing Remote Sensing Challenges in the Bio- and Geosciences with Explainable Machine Learning R Roscher, B Bohn, MF Duarte, J Garcke ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
MULTI-MODAL DEEP LEARNING WITH SENTINEL-3 OBSERVATIONS FOR THE DETECTION OF OCEANIC INTERNAL WAVES L Drees, J Kusche, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
SEMCITY TOULOUSE: A BENCHMARK FOR BUILDING INSTANCE SEGMENTATION IN SATELLITE IMAGES R Roscher, M Volpi, C Mallet, L Drees, JD Wegner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
LEARNING WITH REAL-WORLD AND ARTIFICIAL DATA FOR IMPROVED VEHICLE DETECTION IN AERIAL IMAGERY I Weber, J Bongartz, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
What Identifies a Whale by its Fluke? On the Benefit of Interpretable Machine Learning for Whale Identification J Kierdorf, J Garcke, J Behley, T Cheeseman, R Roscher ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
Detection of grapevine in images using fully convolutional Neural Nets. L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Roscher, R Töpfer, ...
Detektion von Weintrauben in Bildern mit Hilfe von Fully Convolutional Neural Nets M Pflanz, M Schirrmann, C Wellhausen, H Nordmeyer, H Kuhlmann, ... 25. Workshop Computer-Bildanalyse in der Landwirtschaft: 17. April 2019 …, 2019
Hyperspectral plant disease forecasting using generative adversarial networks A Förster, J Behley, J Behmann, R Roscher International Geoscience and Remote Sensing Symposium, 2019
Detection of anomalous grapevine berries using all-convolutional autoencoders L Strothmann, U Rascher, R Roscher International Geoscience and Remote Sensing Symposium, 2019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Töpfer, H Kuhlmann, ... CVPR Workshop on Computer Vision Problems in Plant Phenotyping, 2019
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories J Oehrlein, A Förster, D Schunck, Y Dehbi, R Roscher, JH Haunert ISPRS Annals of the Photogrammetry, IV-4/W7, Remote Sensing and Spatial …, 2018
Foreword to the special issue on machine learning for geospatial data analysis JD Wegner, R Roscher, M Volpi, F Veronesi ISPRS International Journal of Geo-Information 7 (4), 147, 2018
Ocean Eddy Identification and Tracking using Neural Networks K Franz, R Roscher, A Milioto, S Wenzel, J Kusche International Geoscience and Remote Sensing Symposium, 2018
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification L Drees, R Roscher, S Wenzel Photogrammetric Engineering & Remote Sensing 84 (5), 279-286, 2018
Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data R Hagensieker, R Roscher, J Rosentreter, B Jakimow, B Waske International journal of applied earth observation and geoinformation 63 …, 2017
STAR: Spatio-temporal altimeter waveform retracking using sparse representation and conditional random fields R Roscher, B Uebbing, J Kusche Remote sensing of Environment 201, 148-164, 2017
Subpixel mapping of urban areas using EnMAP data and multioutput support vector regression J Rosentreter, R Hagensieker, A Okujeni, R Roscher, PD Wagner, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Sparse Representation-based Archetypal Graphs for Spectral Clustering R Roscher, L Drees, S Wenzel IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Sea Level Anomaly Prediction using Recurrent Neural Networks A Braakmann-Folgmann, R Roscher, S Wenzel, B Uebbing, J Kusche Proceedings of the 2017 conference on Big Data from Space, 2017
Deep Self-taught Learning for Remote Sensing Image Classification A Bettge, R Roscher, S Wenzel Proceedings of the 2017 conference on Big Data from Space, 2017
Mapping raised bogs with an iterative one-class classification approach B Mack, R Roscher, S Stenzel, H Feilhauer, S Schmidtlein, B Waske ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64, 2016
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3d plant models R Roscher, J Behmann, AK Mahlein, L Plümer 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
Investigation of latent traces using infrared reflectance hyperspectral imaging T Schubert, S Wenzel, R Roscher, C Stachniss ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016
Detection of Disease Symptoms on Hyperspectral 3D Plant Models R Roscher, J Behmann, AK Mahlein, J Dupuis, H Kuhlmann, L Plümer ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2016
Evaluating coastal sea surface heights based on a novel sub-waveform approach using sparse representation and conditional random fields B Uebbing, R Roscher, J Kusche EGU General Assembly Conference Abstracts, EPSC2016-11729, 2016
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images R Roscher, B Waske IEEE Transactions on Geoscience and Remote Sensing 54 (3), 2016
Discriminative Archetypal Self-taught Learning for Multispectral Landcover Classification R Roscher, S Wenzel, B Waske 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 2016
Statistical Inference, Learning and Models in Big Data B Franke, JF Plante, R Roscher, A Lee, C Smyth, A Hatefi, F Chen, E Gil, ... International Statistical Review, 2016
Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields R Roscher, B Uebbing, J Kusche 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Improving Sea Surface Height Estimation Using Spatio-Temporal Altimeter Waveform Retracking via Sparse Representation and Conditional Random Fields R Roscher, B Uebbing, J Kusche
Landcover Classification with Self-taught Learning on Archetypal Dictionaries R Roscher, C Römer, B Waske, L Plümer IEEE International Geoscience and Remote Sensing Symposium, 2015
Can i trust my one-class classification? B Mack, R Roscher, B Waske Remote Sensing 6 (9), 8779-8802, 2014
Shapelet-based sparse image representation for landcover classification of hyperspectral data R Roscher, B Waske 2014 8th IAPR Workshop on Pattern Reconition in Remote Sensing, 1-6, 2014
Image based evaluation for the detection of cluster parameters in grapevine A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer XI International Conference on Grapevine Breeding and Genetics 1082, 335-340, 2014
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields R Roscher, B Waske 2014 IEEE Geoscience and Remote Sensing Symposium, 3674-3677, 2014
Initial steps for high-throughput phenotyping in vineyards K Herzog, R Roscher, M Wieland, A Kicherer, T Läbe, W Förstner, ... VITIS-Journal of Grapevine Research 53 (1), 1, 2014
Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields R Roscher, K Herzog, A Kunkel, A Kicherer, R Töpfer, W Förstner Computers and Electronics in Agriculture 100, 148-158, 2014
BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries A Kicherer, R Roscher, K Herzog, S Šimon, W Förstner, R Töpfer VITIS-Journal of Grapevine Research 52 (3), 129, 2013
BAT (Beeren Analyse Tool)-ein Werkzeug zur Phänotypisierung von Beerenmerkmalen der Rebe A Kicherer, R Roscher, K Herzog, S Simon, R Töpfer Geilweilerhof aktuell: Mitteilungen des Instituts für Rebenzüchtung …, 2013
High-throughput phenotyping of yield parameters in the vineyard-first steps. A Kicherer, K Herzog, R Roscher, M Wieland, P Rüger, H Kuhlmann, ...
Sequential learning using incremental import vector machines for semantic segmentation R Roscher Rheinische Friedrich-Wilhelms-Universität Bonn, Landwirtschaftliche Fakultät …, 2013
HT-Phenotyping methods for yield parameters in grapevine A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer Fünftes Nachwuchswissenschaftlerforum 2012, 39, 2012
I2VM: Incremental import vector machines R Roscher, W Förstner, B Waske Image and Vision Computing 30 (4-5), 263-278, 2012
Incremental import vector machines for classifying hyperspectral data R Roscher, B Waske, W Forstner IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3463-3473, 2012
Die Aufnahme von Stereobildern und Entwicklung automatisierter Verfahren zur Bildinterpretation für eine Hochdurchsatz-Phänotypisierung von Reben im Freiland K Herzog, R Roscher, M Wieland, M Klodt, H Kuhlmann, D Cremers, ... Geilweilerhof aktuell: Mitteilungen des Instituts für Rebenzüchtung …, 2012
Object tracking by segmentation using incremental import vector machines R Roscher, J Siegemund, F Schindler, W Förstner Technical report, Institute of Geodesy and Geoinformation, Department of …, 2012
Incremental import vector machines for large area land cover classification R Roscher, B Waske, W Förstner 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
What would you look like in Springfield? Linear Transformations between High-Dimensional Spaces R Roscher, F Schindler, W Förstner
Import vector machines based classification of multisensor remote sensing data B Waske, R Roscher, S Klemenjak 2011 IEEE International Geoscience and Remote Sensing Symposium, 2931-2934, 2011
High dimensional correspondences from low dimensional manifolds–an empirical comparison of graph-based dimensionality reduction algorithms R Roscher, F Schindler, W Förstner Asian Conference on Computer Vision, 334-343, 2010
Kernel discriminative random fields for land cover classification R Roscher, B Waske, W Förstner 2010 IAPR Workshop on Pattern Recognition in Remote Sensing, 1-5, 2010
Multiclass bounded logistic regression–efficient regularization with interior point method R Roscher, W Förstner Technical report, 2009
Improving image segmentation using multiple view analysis M Drauschke, R Roscher, T Labe, W Forstner Object Extraction for 3D City Models, Road Databases and Traffic Monitoring …, 2009
Transformer-Based Reliable Explainability (T-ReX): A Framework to Reliably Interpret Naturalness using Foundation Models A Emam, M Farag, M Rußwurm, R Roscher
SPARSELY LABELED LAND COVER CLASSIFICATION WITH OVERSEGMENTATION-BASED GRAPH UNets J Leonhardt, R Roscher
