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...

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Bibliographic Details
Main Authors: Peiyu Dai, Shunping Ji, Yongjun Zhang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/20/3427