Gated Convolutional Networks for Cloud Removal From Bi-Temporal Remote Sensing Images
Pixels of clouds and cloud shadows in a remote sensing image impact image quality, image interpretation, and subsequent applications. In this paper, we propose a novel cloud removal method based on deep learning that automatically reconstructs the invalid pixels with the auxiliary information from m...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/20/3427 |