Ribana Roscher
Orcid: 0000-0003-0094-6210
According to our database1,
Ribana Roscher
authored at least 63 papers
between 2010 and 2024.
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Bibliography
2024
Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery.
IEEE Geosci. Remote. Sens. Lett., 2024
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
J. Field Robotics, March, 2023
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery.
Frontiers Artif. Intell., February, 2023
Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2023
Reliability Scores From Saliency Map Clusters for Improved Image-Based Harvest-Readiness Prediction in Cauliflower.
IEEE Geosci. Remote. Sens. Lett., 2023
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks.
CoRR, 2023
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023
2022
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset.
Mach. Learn. Knowl. Extr., 2022
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks.
Frontiers Artif. Intell., 2022
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision.
CoRR, 2022
Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Pattern Recognition, 2022
Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer.
Proceedings of the Pattern Recognition, 2022
2021
Artificial and beneficial - Exploiting artificial images for aerial vehicle detection.
CoRR, 2021
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks.
Comput. Electron. Agric., 2021
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
ArtifiVe-Potsdam: A Benchmark for Learning with Artificial Objects for Improved Aerial Vehicle Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks.
CoRR, 2020
IEEE Access, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
ISPRS Int. J. Geo Inf., 2018
CoRR, 2018
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification.
CoRR, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields.
CoRR, 2017
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields.
CoRR, 2017
Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data.
Int. J. Appl. Earth Obs. Geoinformation, 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
2015
Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2012
Sequential learning using incremental import vector machines for semantic segmentation.
PhD thesis, 2012
IEEE Trans. Geosci. Remote. Sens., 2012
2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
2010
High Dimensional Correspondences from Low Dimensional Manifolds - An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms.
Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010