Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery

Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery

Cloud cover remains a significant limitation to a broad range of applications relying on optical remote sensing imagery, including crop identification/yield prediction, climate monitoring, and land cover classification. A common approach to cloud removal treats the problem as an inpainting task and...

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Bibliographic Details
Main Authors: Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Astrid Werkmeister, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Christos Tachtatzis
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
cloud removal
Sentinel-1
Sentinel-2
deep image prior
internal learning
image inpainting
Online Access:https://www.mdpi.com/2072-4292/14/6/1342

Internet

https://www.mdpi.com/2072-4292/14/6/1342

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