NDLI: Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering

Content Provider	IEEE Xplore Digital Library
Author	Maoguo Gong Zhiqiang Zhou Jingjing Ma
Copyright Year	1992
Abstract	This paper presents an unsupervised distribution-free change detection approach for synthetic aperture radar (SAR) images based on an image fusion strategy and a novel fuzzy clustering algorithm. The image fusion technique is introduced to generate a difference image by using complementary information from a mean-ratio image and a log-ratio image. In order to restrain the background information and enhance the information of changed regions in the fused difference image, wavelet fusion rules based on an average operator and minimum local area energy are chosen to fuse the wavelet coefficients for a low-frequency band and a high-frequency band, respectively. A reformulated fuzzy local-information C-means clustering algorithm is proposed for classifying changed and unchanged regions in the fused difference image. It incorporates the information about spatial context in a novel fuzzy way for the purpose of enhancing the changed information and of reducing the effect of speckle noise. Experiments on real SAR images show that the image fusion strategy integrates the advantages of the log-ratio operator and the mean-ratio operator and gains a better performance. The change detection results obtained by the improved fuzzy clustering algorithm exhibited lower error than its preexistences.
Sponsorship	IEEE Signal Processing Society
Page Count	11
File Size	2539568
Starting Page	2141
Ending Page	2151
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Clustering algorithms Image fusion Change detection algorithms Discrete wavelet transforms Damping Wavelet coefficients synthetic aperture radar (SAR) Clustering fuzzy C-means (FCM) algorithm image change detection image fusion
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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