• DocumentCode
    2262794
  • Title

    Segmentation and recognition of bridges in high resolution SAR images

  • Author

    Biao, Hou ; Ying, Li ; Licheng, Jiao

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    Based on analyzing the features of SAR images, this paper presents a novel algorithm for automatic segmentation and recognition of bridges in high-resolution SAR images according to the idea of detecting the targets along the edges of the image. At the same time, wavelet analysis is successfully used in prefiltering and denoising; good recognition results are thus obtained
  • Keywords
    edge detection; image segmentation; interference suppression; object recognition; radar detection; radar imaging; radar resolution; smoothing methods; synthetic aperture radar; wavelet transforms; SAR images; bridge recognition; denoising; edge detection; high resolution SAR; image segmentation; image smoothing; object classification; object recognition; prefiltering; wavelet analysis; Bridges; Image analysis; Image edge detection; Image recognition; Image resolution; Image segmentation; Noise reduction; Synthetic aperture radar; Target recognition; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2001 CIE International Conference on, Proceedings
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-7000-7
  • Type

    conf

  • DOI
    10.1109/ICR.2001.984747
  • Filename
    984747