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

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 informati...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 21; H. 4; S. 2141 - 2151
Hauptverfasser:	Gong, Maoguo, Zhou, Zhiqiang, Ma, Jingjing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2012
Schlagworte:	Algorithms Change detection algorithms Clustering Clustering algorithms Damping Discrete wavelet transforms fuzzy C-means (FCM) algorithm Fuzzy Logic image change detection Image Enhancement - methods Image fusion Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Noise Pattern Recognition, Automated - methods Radar Reproducibility of Results Sensitivity and Specificity Subtraction Technique synthetic aperture radar (SAR) Wavelet coefficients
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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