Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 133-137, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W3-133-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
24 Sep 2013
A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT
Y. Dehghan-Soraki1, S. K. Saha2, and M. Kumari2 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.
Conference paper (PDF, 689 KB)


Citation: Dehghan-Soraki, Y., Saha, S. K., and Kumari, M.: A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 133-137, https://doi.org/10.5194/isprsarchives-XL-1-W3-133-2013, 2013.

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