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04/13/2023
A Contrastive Method Based on Elevation Data for Remote Sensing with Scarce and High Level Semantic Labels
This work proposes a hybrid unsupervised/supervised learning method to p...
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11/18/2022
Deep learning based landslide density estimation on SAR data for rapid response
This work aims to produce landslide density estimates using Synthetic Ap...
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11/17/2022
SAR-based landslide classification pretraining leads to better segmentation
Rapid assessment after a natural disaster is key for prioritizing emerge...
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11/05/2022
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
With climate change predicted to increase the likelihood of landslide ev...
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07/13/2022
Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution
Analyzing the planet at scale with satellite imagery and machine learnin...
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11/05/2021
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
High resolution remote sensing imagery is used in broad range of tasks, ...
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12/17/2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
Extreme precipitation events, such as violent rainfall and hail storms, ...
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11/15/2020
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
Where are the Earth's streams flowing right now? Inland surface waters e...
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11/14/2020
