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- W4319993240 abstract "This paper presents a neural network-based solution to recover pixels occluded by clouds in satellite images. We leverage radio frequency (RF) signals in the ultra/super-high frequency band that penetrate clouds to help reconstruct the occluded regions in multispectral images. We introduce the first multi-modal multi-temporal method for cloud removal. Our model uses publicly available satellite observations and produces daily cloud-free images. Experimental results show that our system outperforms several baselines on multiple metrics. We also demonstrate use cases of our system in digital agriculture, flood monitoring, and wildfire detection." @default.
- W4319993240 created "2023-02-11" @default.
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- W4319993240 date "2023-01-01" @default.
- W4319993240 modified "2023-10-16" @default.
- W4319993240 title "Seeing Through Clouds in Satellite Images" @default.
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- W4319993240 doi "https://doi.org/10.1109/tgrs.2023.3239592" @default.
- W4319993240 hasPublicationYear "2023" @default.
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