Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation-Reference-Cited by-同舟云学术

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Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation

Published:2024-10 Issue: Volume:216 Page:168-184
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Arp Laurens^ORCID,Hoos Holger^ORCID,van Bodegom Peter^ORCID,Francis Alistair^ORCID,Wheeler James,van Laar Dean,Baratchi Mitra

Publisher

Elsevier BV

Reference58 articles.

1. Vpint: value propagation-based spatial interpolation;Arp;Data Min. Knowl. Discov.,2022

2. A Markovian decision process;Bellman;J. Math. Mech.,1957

3. Wall-to-wall mapping of tree extent in the tropics with sentinel-1 and sentinel-2;Brandt;Remote Sens. Environ.,2023

4. Copernicus global land service: land cover 100 m: collection 3: epoch 2019: globe (version v3.0.1);Buchhorn,2020

5. Spatially and temporally weighted regression: A novel method to produce continuous cloud-free landsat imagery;Chen;IEEE Trans. Geosci. Remote Sens.,2016

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