SFRS-Net: A Cloud-Detection Method Based on Deep Convolutional Neural Networks for GF-1 Remote-Sensing Images

SFRS-Net: A Cloud-Detection Method Based on Deep Convolutional Neural Networks for GF-1 Remote-Sensing Images

Clouds constitute a major obstacle to the application of optical remote-sensing images as they destroy the continuity of the ground information in the images and reduce their utilization rate. Therefore, cloud detection has become an important preprocessing step for optical remote-sensing image appl...

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Bibliographic Details
Main Authors: Xiaolong Li, Hong Zheng, Chuanzhao Han, Wentao Zheng, Hao Chen, Ying Jing, Kaihan Dong
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
remote-sensing images
cloud detection
folding
unfolding
convolutional neural networks
GF-1
Online Access:https://www.mdpi.com/2072-4292/13/15/2910

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