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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2020-04-27
A Novel Saliency-Based Method for Ship Detection in SAR Image
By
Tingpeng Li,

    Dr. Tingpeng Li

    State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information Systems

    China

    Homepage

Hua Zhong,

    Dr. Hua Zhong

    State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information Systems

    China

    Homepage

Meng Yang

    Prof. Meng Yang

    School of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 91, 9-16, 2020
doi:10.2528/PIERL20030405 | Google Scholar

Abstract
This paper presents a hierarchical saliency detector for ship detection in synthetic aperture radar (SAR) imagery. First, the nonlinear anisotropic diffusive process has been adopted to eliminate clutter, while preserving the target edge feature in SAR image. Second, each pixel in the filtered image is assigned to its corresponding super-pixel region via an adaptation of optimization technique. Third, Gamma manifold for feature representation has been presented for the modeling of intensity of all super-pixels in SAR imagery. Fourth, a threshold segmentation method is used to realize ship detection. The proposed method is an automatic detection process without any sliding window. Experimental results accomplished over real SAR images demonstrate that the proposed detection method can achieve a good performance.
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Citation
Tingpeng Li, Hua Zhong, and Meng Yang, "A Novel Saliency-Based Method for Ship Detection in SAR Image," Progress In Electromagnetics Research Letters, Vol. 91, 9-16, 2020.
doi:10.2528/PIERL20030405
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