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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2012-09-18
Unsupervised Target Detection in SAR Images Using Scattering Center Model and Mean Shift Clustering Algorithm
By
Meng Yang,

    Prof. Meng Yang

    School of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Gong Zhang

    Dr. Gong Zhang

    College of Information Science and Technology

    Nanjing University of Aeronautics and Astronautics

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 35, 11-18, 2012
doi:10.2528/PIERL12071109 | Google Scholar

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.
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Citation
Meng Yang, and Gong 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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