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09/04/2023
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain
Monitoring and understanding forest dynamics is essential for environmen...
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05/24/2023
Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems
Data imbalance is ubiquitous when applying machine learning to real-worl...
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04/11/2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Clouds and haze often occlude optical satellite images, hindering contin...
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12/14/2021
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
Optical and radar satellite time series are synergetic: optical images c...
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07/16/2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Unprecedented access to multi-temporal satellite imagery has opened new ...
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07/06/2020
Metric-Guided Prototype Learning
Not all errors are created equal. This is especially true for many key m...
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07/01/2020
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
The increasing accessibility and precision of Earth observation satellit...
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11/18/2019
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Satellite image time series, bolstered by their growing availability, ar...
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01/29/2019