• DocumentCode
    143161
  • Title

    Mapping the layover-shadow pixels of elevated flooded regions of RADARSAT-2 SLC data

  • Author

    Manavalan ; Rao, Y.S. ; Mohan, B. Krishna ; Sharma, Shakti

  • Author_Institution
    Centre for Dev. of Adv. Comput., Bangalore, India
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1821
  • Lastpage
    1824
  • Abstract
    In flooded elevated regions, mapping and differentiating the shadow-layover pixels of input SAR image from the overall inundated region is a major challenge which is not addressed in earlier studies. This paper will brings out the details about a DEM based SAR image analyzing techniques that can help in identifying the pixels of shadow/layover regions of input SAR image. The outcome of the proposed technique have been verified with eight different RADARSAT-2 SAR scenes which have been acquired during various flood events of India and the results of one of the image has been discussed in this paper.
  • Keywords
    floods; synthetic aperture radar; DEM based SAR image analyzing technique; India; RADARSAT-2 SAR scene; RADARSAT-2 SLC data; elevated flooded region; flood event; flooded elevated mapping; input SAR image; layover-shadow pixel mapping; overall inundated region; shadow-layover pixel differentiation; shadow-layover region pixel identification; Data mining; Data models; Floods; Image color analysis; Radar imaging; Remote sensing; Synthetic aperture radar; DEM; Flood; Layover; Shadow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946808
  • Filename
    6946808