Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 5, May 2014
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
How to Cite this Article?
Pooja H. M, Dhanushree M. C, "Change Detection in Synthetic Aperture Radar Image based on Image Fusion and Fuzzy Clustering", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=20131649, Volume 3 Issue 5, May 2014, 201 - 206
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