Cloud shadow removal for optical satellite data

نویسندگان

چکیده

An improved cloud shadow removal algorithm for high spatial resolution optical satellite data over land is presented. The method based on the matched filter method, which consists of calculation a covariance matrix and corresponding zero-reflectance vector computation function. new additions consist usage an map further evaluations performed performance incorporated in software package Python-based atmospheric correction (PACO) compared to deshadowing set 25 Sentinel-2 scenes distributed globe covering wide variety environments climates. Furthermore, evaluation relative ratio between clear pixels with without performed. visual, spectral, statistical results show that can improve used so far.

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ژورنال

عنوان ژورنال: Journal of Applied Remote Sensing

سال: 2023

ISSN: ['1931-3195']

DOI: https://doi.org/10.1117/1.jrs.17.026514