Ship Detection in High-Resolution Dual-Polarization SAR Amplitude Images

被引:8
|
作者
Gao, Gui [1 ]
Shi, Gongtao [1 ]
Zhou, Shilin [1 ]
机构
[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1155/2013/519296
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A constant false alarm rate (CFAR) detecting method for ships in high-resolution dual-polarization synthetic aperture radar (SAR) amplitude images has been proposed in this paper. First, by the production of amplitude images from two polarimetric channels, a novel detector simply called the PMA detector has been constructed. We testified that the PMA detector could improve the signal-to-clutter ratio (SCR) and make the discrimination of a ship from clutter more easily. Second, the PMA detector's statistical model has been described by the well-known G(0) distribution when facing complex sea background. The experiments performed on measured dual-polarization TerraSAR-X images demonstrate the good performance of the proposed CFAR detecting method.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Statistical Modeling of PMA Detector for Ship Detection in High-Resolution Dual-Polarization SAR Images
    Gao, Gui
    Luo, Yongbo
    Ouyang, Kewei
    Zhou, Shilin
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (07): : 4302 - 4313
  • [2] A Hierarchical Ship Detection Scheme for High-Resolution SAR Images
    Wang, Yinghua
    Liu, Hongwei
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (10): : 4173 - 4184
  • [3] Ship Detection for High-Resolution SAR Images Based on Feature Analysis
    Wang, Chao
    Jiang, Shaofeng
    Zhang, Hong
    Wu, Fan
    Zhang, Bo
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (01) : 119 - 123
  • [4] Supervised High-Resolution Dual-Polarization SAR Image Classification by Finite Mixtures and Copulas
    Krylov, Vladimir A.
    Moser, Gabriele
    Serpico, Sebastiano B.
    Zerubia, Josiane
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2011, 5 (03) : 554 - 566
  • [5] Unsupervised segmentation of dual-polarization SAR images based on amplitude and texture characteristics
    Du, L
    Grunes, MR
    Lee, JS
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (20) : 4383 - 4402
  • [6] An Unsupervised Ship Classifier for High-Resolution SAR Images
    Chen, Longtao
    Yao, Ping
    Wang, Hao
    Wang, Zhensong
    [J]. PROCEEDINGS OF THE 2013 ASIA-PACIFIC COMPUTATIONAL INTELLIGENCE AND INFORMATION TECHNOLOGY CONFERENCE, 2013, : 524 - 530
  • [7] An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images
    Liang, Yi
    Sun, Kun
    Zeng, Yugui
    Li, Guofei
    Xing, Mengdao
    [J]. REMOTE SENSING, 2020, 12 (02)
  • [8] A NOVEL THRESHOLD TEMPLATE ALGORITHM FOR SHIP DETECTION IN HIGH-RESOLUTION SAR IMAGES
    Wang, Chonglei
    Bi, Funkun
    Chen, Liang
    Chen, Jing
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 100 - 103
  • [9] HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
    Wei, Shunjun
    Zeng, Xiangfeng
    Qu, Qizhe
    Wang, Mou
    Su, Hao
    Shi, Jun
    [J]. IEEE ACCESS, 2020, 8 : 120234 - 120254
  • [10] LssDet: A Lightweight Deep Learning Detector for SAR Ship Detection in High-Resolution SAR Images
    Yan, Guoxu
    Chen, Zhihua
    Wang, Yi
    Cai, Yangwei
    Shuai, Shikang
    [J]. REMOTE SENSING, 2022, 14 (20)