• DocumentCode
    2188787
  • Title

    Research on the Recognition Method of Bridge Target in SAR Image

  • Author

    Yin, Dong ; Zhang, Rong

  • Author_Institution
    Dept. of EEIS, Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    1403
  • Lastpage
    1406
  • Abstract
    An algorithm for SAR images based on knowledge of bridge over water is proposed. According to the positional relationship between bridge and river, it is pivotal for recognition to extract river correctly. First, pretreatment for SAR images is necessary, including noise reduction and image enhancement. Second, region-based threshold segmentation, region growing and mathematical morphology are used to extract water areas. Third, the water contours are extracted and traced. Fourth, potential bridge points are searched among water contours and fitted into lines which form two edge lines of potential bridge. Finally, feature extraction of potential bridges is implemented and certain rules are set to determine whether potential bridge is genuine target. The experiments show that the algorithm presented by this paper is effective.
  • Keywords
    bridges (structures); feature extraction; image enhancement; image recognition; mathematical morphology; radar imaging; synthetic aperture radar; SAR image; bridge target; feature extraction; image enhancement; image recognition; mathematical morphology; potential bridge; region based threshold segmentation; synthetic aperture radar; water segmentation; Bridges; Feature extraction; Histograms; Image recognition; Image segmentation; Microwave filters; Optical filters; SAR images; bridge recognition; contour extraction; water segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Bradford
  • Print_ISBN
    978-1-4244-7547-6
  • Type

    conf

  • DOI
    10.1109/CIT.2010.251
  • Filename
    5577838