A Novel Method of Unsupervised Change Detection Using Multi-Temporal PolSAR Images

A Novel Method of Unsupervised Change Detection Using Multi-Temporal PolSAR Images

The existing unsupervised change detection methods using full-polarimetric synthetic aperture radar (PolSAR) do not use all the polarimetric information, and the results are subject to the influence of noise. In order to solve these problems, a novel automatic and unsupervised change detection appro...

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Bibliographic Details
Main Authors:	Wensong Liu, Jie Yang, Jinqi Zhao, Le Yang
Format:	Article
Language:	English
Published:	MDPI AG 2017-11-01
Series:	Remote Sensing
Subjects:	PolSAR unsupervised change detection test statistic generalized statistical region merging (GSRM) generalized Gaussian mixture model (GMM)
Online Access:	https://www.mdpi.com/2072-4292/9/11/1135

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