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Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 5, May 2014 | Rating: 6.2 / 10
Change Detection in Synthetic Aperture Radar Image based on Image Fusion and Fuzzy Clustering
Pooja H. M | Dhanushree M. C
Abstract: Change detection approach for synthetic aperture radar (SAR) images based on an image fusion strategy and a 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. A reformulated fuzzy local-information C-means (RFLICM) 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.
Keywords: SAR, RFLICM, Fuzzy Clustering, Imagefusion
Edition: Volume 3 Issue 5, May 2014,
Pages: 201 - 206