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Journal article

Cloud detection for CHRIS/Proba hyperspectral images

Abstract:

Accurate and automatic detection of clouds in satellite scenes is a key issue for a wide range of remote sensing applications. With no accurate cloud masking, undetected clouds are one of the most significant source of error in both sea and land cover biophysical parameter retrieval. Sensors with spectral channels beyond 1 μm have demonstrated good capabilities to perform cloud masking. This spectral range can not be exploited by recently developed hyperspectral sensors that work in the spect...

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Publisher copy:
10.1117/12.627704

Authors


Gómez-Chova, L More by this author
Amorós, J More by this author
Camps-Valls, G More by this author
Martín, JD More by this author
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Journal:
Proceedings of SPIE - The International Society for Optical Engineering
Volume:
5979
Publication date:
2005
DOI:
ISSN:
0277-786X
URN:
uuid:944b2128-5a43-407d-8e34-0e82f144dc1b
Source identifiers:
160129
Local pid:
pubs:160129

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