A Unified Cloud Detection Method for Suomi-NPP VIIRS Day and Night PAN Imagery

Cloud detection is a necessary step before the application of remote sensing images. However, the radiation intensity similarity between artificial lights and clouds is higher in nighttime remote sensing images than in daytime remote sensing images, making it difficult to distinguish artificial ligh...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-13
Hauptverfasser:	Li, Jun, Hu, Chengjie, Sheng, Qinghong, Wang, Bo, Ling, Xiao, Gao, Fan, Xu, Yunfei, Li, Zhiwei, Molinier, Matthieu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive feature fusion Artificial light Brain mapping Cloud computing cloud detection Clouds Daytime daytime and nighttime remote sensing Decoding Deep learning Feature extraction Feature maps Image enhancement Imaging radiometers Infrared imagery Infrared imaging Infrared radiometers Modules multiscale feature-extraction fusion (MFEF) Night Night-time Nighttime Radiant flux density Radiometers Radiometry Receptive field Reflectivity Remote sensing Satellite broadcasting Source code
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