A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT
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 fr...
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Format: | Article |
Language: | English |
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Copernicus Publications
2013-09-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/133/2013/isprsarchives-XL-1-W3-133-2013.pdf |
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author | Y. Dehghan-Soraki S. K. Saha M. Kumari |
author_facet | Y. Dehghan-Soraki S. K. Saha M. Kumari |
author_sort | Y. Dehghan-Soraki |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-22T15:35:59Z |
format | Article |
id | doaj.art-79a2fc8938ce48718e71b82046daedf0 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-22T15:35:59Z |
publishDate | 2013-09-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-79a2fc8938ce48718e71b82046daedf02022-12-21T18:21:16ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-09-01XL-1/W313313710.5194/isprsarchives-XL-1-W3-133-2013A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENTY. Dehghan-Soraki0S. K. Saha1M. Kumari2Remote Sensing Research Institute , Iranian Space Research Centre, Tehran, IranIndian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, IndiaIndian Institute of Remote Sensing, Indian Space Research Organization, Dehradun, IndiaA 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/133/2013/isprsarchives-XL-1-W3-133-2013.pdf |
spellingShingle | Y. Dehghan-Soraki S. K. Saha M. Kumari A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT |
title_full | A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT |
title_fullStr | A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT |
title_full_unstemmed | A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT |
title_short | A MODIFIED POLARIMETRIC DECOMPOSTION FOR APPLICABILTY IN COMPLEX AGRICULTURAL ENVIRONMENT |
title_sort | modified polarimetric decompostion for applicabilty in complex agricultural environment |
url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/133/2013/isprsarchives-XL-1-W3-133-2013.pdf |
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