The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-1/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 133–137, 2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 133–137, 2013

  24 Sep 2013

24 Sep 2013


Y. Dehghan-Soraki1, S. K. Saha2, and M. Kumari2 Y. Dehghan-Soraki et al.
  • 1Remote Sensing Research Institute , Iranian Space Research Centre, Tehran, Iran
  • 2Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, India

Keywords: Polarimetric SAR, Decomposition, Land use/Land Cover, Agriculture, Crop inventory, Crop classification

Abstract. A new model based decomposition on coherency matrix is demonstrated for the analysis of polarimetric SAR data. In this method a first order Bragg scattering model was fitted to explain the Bragg scatter from a moderately rough surface; randomly oriented dipole for explaining the volume scattering from a canopy layer; and a rotated dihedral model for pair of orthogonal scatters in Copol and Crosspol channels. The distinctive nature of this model is: fitting a rotated dihedral model to the coherency matrix which provides an ability to distinguish the same double-bounce mechanism occurs in small size bunded cropland and in orthogonal manmade structures. The model is applied to Radarsat-2 full polarimetric data which was acquired in a complex agricultural landscape. The result from decomposition was quite effective in reducing the scattered double-bounce pollutions from bunded trees surrounding croplands with extra enhancement in decomposition of orthogonal as well as oblique manmade structures.