An Innovative Approach for Effective Removal of Thin Clouds in Optical Images Using Convolutional Matting Model

An Innovative Approach for Effective Removal of Thin Clouds in Optical Images Using Convolutional Matting Model

Clouds are the major source of clutter in optical remote sensing (RS) images. Approximately 60% of the Earth’s surface is covered by clouds, with the equatorial and Tibetan Plateau regions being the most affected. Although the implementation of techniques for cloud removal can significantly improve...

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Bibliographic Details
Main Authors: Renzhe Wu, Guoxiang Liu, Jichao Lv, Yin Fu, Xin Bao, Age Shama, Jialun Cai, Baikai Sui, Xiaowen Wang, Rui Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
image superposition
image matting
cloud removal
deep learning
remote sensing image
Online Access:https://www.mdpi.com/2072-4292/15/8/2119

Internet

https://www.mdpi.com/2072-4292/15/8/2119

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