Application of Deep Learning for Speckle Removal in GOCI Chlorophyll-<i>a</i> Concentration Images (2012–2017)

The detection and removal of erroneous pixels is a critical pre-processing step in producing chlorophyll-<i>a</i> (chl-<i>a</i>) concentration values to adequately understand the bio-physical oceanic process using optical satellite data. Geostationary Ocean Color Imager (GOCI) chl-<i>a</i> images re...

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書目詳細資料

Principais autores:	Ji-Eun Park, Kyung-Ae Park
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-02-01
叢編:	Remote Sensing
主題:	chlorophyll-<i>a</i> concentration Geostationary Ocean Color Imager (GOCI) deep neural network ocean color speckle
在線閱讀:	https://www.mdpi.com/2072-4292/13/4/585
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