Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm

The detection of changes in optical remote sensing images under the interference of thin clouds is studied for the first time in this paper. First, the optical remote sensing image is subjected to thin cloud removal processing, and then the processed remote sensing image is subjected to image change...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 19; H. 9; S. 1972
Hauptverfasser:	Yang, Xiaoqian, Jia, Zhenhong, Yang, Jie, Kasabov, Nikola
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 26.04.2019 MDPI
Schlagworte:	Algorithms Atmospheric aerosols change detection Clouds Clustering combination difference map FCM clustering Fog International conferences Noise optical remote sensing image Remote sensing Satellites thin cloud removal unsupervised Wavelet transforms China combination difference map change detection thin cloud removal optical remote sensing image unsupervised FCM clustering
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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