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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2019-02-21
Ship Detection in SAR Image Based on Information Geometry Method
By
Xiangxiang Yang,

    Dr. Xiangxiang Yang

    College of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Meng Yang,

    Prof. Meng Yang

    School of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Yinhua Zhang,

    Dr. Yinhua Zhang

    College 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 M, Vol. 79, 81-90, 2019
doi:10.2528/PIERM19010102 | Google Scholar

Abstract
Aiming at the problem of high false alarm rate with respect to adaptive threshold in the ship detection from synthetic aperture radar (SAR) images, a novel strategy increasing robustness when using local adaptive threshold is proposed. In this article, we establish a fusion detection model based on a combination of the information geometry and surface geometry. Information geometry from a metric viewpoint can increase the contrast between targets and clutter in SAR image. Local surface feature gives a brief application of adaptive threshold method in ship detection from SAR images by means of the constant false-alarm-rate. Experiments indicate that the proposed geometry-based approach can effectively detect ship targets from complex background SAR images by using the method of fusion processing.
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Citation
Xiangxiang Yang, Meng Yang, Yinhua Zhang, and Gong Zhang, "Ship Detection in SAR Image Based on Information Geometry Method," PIER M, Vol. 79, 81-90, 2019.
doi:10.2528/PIERM19010102
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