• DocumentCode
    3677631
  • Title

    River detection from SAR images

  • Author

    Wang Wenguang;Wang Jun;Zhao Hui;Yuan Yunneng;Sun Jinping

  • Author_Institution
    School of EIE, Beihang University, Beijing 100191, China
  • fYear
    2015
  • Firstpage
    680
  • Lastpage
    683
  • Abstract
    River detection from SAR images plays an important role in civilian applications. A new method for river detection is proposed in this paper, which includes fuzzy clustering, wavelet transform and using snake model. River area can be extracted by clustering and morphological processing. Then the edge of river is extracted with the wavelet modulus maximum method (WTMM), and is smoothed by the snake model. A Radarsat-1 image is used for the experiment. The experimental result shows that the method proposed in this paper is efficient for river detection and edge location.
  • Keywords
    "Yttrium","Conferences","Apertures"
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference on
  • Type

    conf

  • DOI
    10.1109/APSAR.2015.7306297
  • Filename
    7306297
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3677631