Thin Cloud Removal for Multispectral Remote Sensing Images Using Convolutional Neural Networks Combined With an Imaging Model

Thin Cloud Removal for Multispectral Remote Sensing Images Using Convolutional Neural Networks Combined With an Imaging Model

Multispectral remote sensing images are often degraded by clouds, resulting in the reduced efficiency and accuracy of image interpretation. Thin cloud removal is one of the most important and significant tasks for optical multispectral images. In this article, we propose a novel thin cloud removal m...

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Bibliographic Details
Main Authors: Yue Zi, Fengying Xie, Ning Zhang, Zhiguo Jiang, Wentao Zhu, Haopeng Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
multispectral remote sensing images
thin cloud removal
thin cloud thickness map
Online Access:https://ieeexplore.ieee.org/document/9384224/

Internet

https://ieeexplore.ieee.org/document/9384224/

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