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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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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MDPI AG
2021-02-01
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| Serie: | Remote Sensing |
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| Länkar: | https://www.mdpi.com/2072-4292/13/4/585 |
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