• DocumentCode
    143462
  • Title

    Critical analysis of deorientation effect on various land covers: An application of POLSAR data

  • Author

    Mishra, Pooja ; Singh, Keshava P. ; Singh, Dharmendra ; Rajput, Navin Singh

  • Author_Institution
    Dept. of Electron. & Commun. Eng, Indian Inst. of Technol. Roorkee, Roorkee, India
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2746
  • Lastpage
    2749
  • Abstract
    The aim of model based decomposition is to express coherency matrix in terms of various scattering components (like, volume, surface, double bounce, and helix). In spite of this decomposition, ambiguity occurs in scattering response from various land covers, like urban and vegetation. Deorientation process is believed to remove this ambiguity. However, there is a need to check whether decomposition methods and deorientation helps in identification of different land covers in terms of scattering mechanisms. To fulfil this task, in this paper, a study of four D decomposition methods with and without deorientation has been performed. The purpose of this study is to visualize the effect of deorientation on various land covers like, urban, vegetation, bare soil, water, and subsidence, in Jharia region, one of the major coal fields of India. Both visual and quantitative analysis have been performed for comprehensive evaluation of deorientation effect.
  • Keywords
    geophysical image processing; geophysical techniques; land cover; radar imaging; radar polarimetry; synthetic aperture radar; vegetation mapping; D decomposition methods; India; Jharia region; PolSAR data; bare soil; decomposition model; deorientation effect; land covers; quantitative analysis; scattering mechanisms; urban land covers; vegetation; visual analysis; water; Equations; Mathematical model; Matrix decomposition; Scattering; Soil; Solid modeling; TV; Decomposition; deorientation; double bounce scattering; surface scattering; volume scattering;
  • 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.2014.6947044
  • Filename
    6947044