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An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF
Autor:
José Roberto Lomelí-Huerta, Juan Pablo Rivera-Caicedo, Miguel De-la-Torre, Brenda Acevedo-Juárez, Jushiro Cepeda-Morales, Himer Avila-George
Publikováno v:
PeerJ Computer Science, Vol 8, p e979 (2022)
This paper proposes an approach to fill in missing data from satellite images using data-intensive computing platforms. The proposed approach merges satellite imagery from diverse sources to reduce the impact of the holes in images that result from a
Externí odkaz:
https://doaj.org/article/17d772fecc83403187e7553af47e9a6a