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Fast spatial-spectral random forests for thick cloud removal of hyperspectral images
Author(s) -
Lanxing Wang,
Qunming Wang
Publication year - 2022
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2022.102916
Subject(s) - hyperspectral imaging , cloud computing , multispectral image , pixel , remote sensing , random forest , dimension (graph theory) , computer science , spectral signature , geography , artificial intelligence , mathematics , pure mathematics , operating system

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