Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration Paper • 2510.19579 • Published Oct 22
A Comparative Assessment of Multi-view fusion learning for Crop Classification Paper • 2308.05407 • Published Aug 10, 2023
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level Paper • 2308.08948 • Published Aug 17, 2023
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction Paper • 2401.11844 • Published Jan 22, 2024
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications Paper • 2403.14297 • Published Mar 21, 2024
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer Paper • 2406.18584 • Published Jun 6, 2024
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping Paper • 2407.08298 • Published Jul 11, 2024
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation Paper • 2407.15512 • Published Jul 22, 2024
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data Paper • 2403.16582 • Published Mar 25, 2024
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach Paper • 2501.01132 • Published Jan 2
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? Paper • 2503.19719 • Published Mar 25
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks Paper • 2504.06915 • Published Apr 9
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications Paper • 2301.01200 • Published Dec 20, 2022