Marlon Nuske
Orcid: 0000-0002-0651-0664
According to our database1,
Marlon Nuske
authored at least 20 papers
between 2023 and 2024.
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Bibliography
2024
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features.
CoRR, 2024
Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites.
CoRR, 2024
CoRR, 2024
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.
CoRR, 2024
IEEE Computer Graphics and Applications, 2024
Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels.
Proceedings of the IGARSS 2024, 2024
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.
Proceedings of the IGARSS 2024, 2024
2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches.
CoRR, 2023
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Effect Of Terrain Information On Multimodal Deep Learning For Flood Disaster Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023