• DocumentCode
    2216182
  • Title

    New method for ship detection

  • Author

    Yang, Jian ; Gao, Wei

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently. The proposed detection method takes incident angle into consideration, and can be realized in two ways: using prior knowledge or local adaptive. In the first approach, sea clutter statistics at different incident angles are calculated in advance, followed by traditional GOPCE detection. The other method performs a two-stage detection. In the first stage, the polarimetric whitening filter (PWF) is applied for coarse detection. In the second stage, a moving window is applied to estimate local statistics adaptively, achieving refined detection. Effectiveness of the proposed method is demonstrated using Radarsat-2 data, and detection results of various detectors are compared.
  • Keywords
    filters; image resolution; optimisation; radar clutter; radar detection; radar imaging; radar polarimetry; remote sensing by radar; ships; statistics; GOPCE detection; PWF; Radarsat-2 data; generalized optimization; local adaptive; local incident angle; local statistics estimation; pixels; polarimetric contrast enhancement; polarimetric whitening filter; prior knowledge; radar remote sensing; scattering coefficients; sea area; sea clutter statistics; ship detection; two-stage detection; Clutter; Correlation; Detectors; Marine vehicles; Optimization; Scattering; Synthetic aperture radar; GOPCE; incident angle; synthetic aperture radar (SAR); target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351623
  • Filename
    6351623