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Progress In Electromagnetics Research Letters
ISSN: 1937-6480
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UNSUPERVISED TARGET DETECTION IN SAR IMAGES USING SCATTERING CENTER MODEL AND MEAN SHIFT CLUSTERING ALGORITHM

By M. Yang and G. Zhang

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Abstract:
A new framework for target detection in synthetic aperture radar (SAR) images is proposed. We focus on the task of locating reflective small regions using scattering centers model and clustering algorithm. Unlike most of the approaches in target detection, we address an algorithm that incorporates total variation filtering and mean shift clustering instead of parameter estimation. Our approach is validated by a series of tests on real SAR images and compared with other target detection algorithms, demonstrating that it configures a novel and efficient method for target-detection purpose.

Citation:
M. Yang and G. Zhang, "Unsupervised Target Detection in SAR Images Using Scattering Center Model and Mean Shift Clustering Algorithm," Progress In Electromagnetics Research Letters, Vol. 35, 11-18, 2012.
doi:10.2528/PIERL12071109

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