SAR Images Unsupervised Change Detection Based on Combination of Texture Feature Vector with Maximum Entropy Principle

SAR Images Unsupervised Change Detection Based on Combination of Texture Feature Vector with Maximum Entropy Principle

Generally, spatial-contextual information would be used in change detection because there is significant speckle noise in synthetic aperture radar(SAR) images. In this paper, using the rich texture information of SAR images, an unsupervised change detection approach to high-resolution SAR images bas...

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Bibliographic Details
Main Authors: ZHUANG Huifu, DENG Kazhong, FAN Hongdong
Format: Article
Language:zho
Published: Surveying and Mapping Press 2016-03-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
GLCM
texture feature vector
maximum entropy principle
SAR
change detection
Online Access:http://html.rhhz.net/CHXB/html/2016-3-339.htm

Internet

http://html.rhhz.net/CHXB/html/2016-3-339.htm

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