Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery

Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery

Multispectral remote sensing images are widely used for monitoring the globe. Although thin clouds can affect all optical bands, the influences of thin clouds differ with band wavelength. When processing multispectral bands at different resolutions, many methods only remove thin clouds in visible&am...

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Bibliographic Details
Main Authors: Jun Li, Yuejie Zhang, Qinghong Sheng, Zhaocong Wu, Bo Wang, Zhongwen Hu, Guanting Shen, Michael Schmitt, Matthieu Molinier
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL)
multifeature fusion
parallel downsample residual block (PDRB)
Sentinel-2
thin cloud removal
Online Access:https://ieeexplore.ieee.org/document/9910392/

Internet

https://ieeexplore.ieee.org/document/9910392/

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