DocumentCode :
960934
Title :
Multiple-Component Scattering Model for Polarimetric SAR Image Decomposition
Author :
Zhang, Lamei ; Zou, Bin ; Cai, Hongjun ; Zhang, Ye
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin
Volume :
5
Issue :
4
fYear :
2008
Firstpage :
603
Lastpage :
607
Abstract :
A multiple-component scattering model (MCSM) is proposed to decompose polarimetric synthetic aperture radar (PolSAR) images. The MCSM extends a three-component scattering model, which describes single-bounce, double-bounce, volume, helix, and wire scattering as elementary scattering mechanisms in the analysis of PolSAR images. It can be found that double-bounce, helix, and wire scattering are predominant in urban areas. These elementary scattering mechanisms correspond to the asymmetric reflection condition that the copolar and cross-polar correlations are not close to zero. The MCSM is demonstrated with a German Aerospace Center (DLR) Experimental Synthetic Aperture Radar (ESAR) L-band full-polarized image of the Oberpfaffenhofen Test Site Area (DE), Germany, which was obtained on September 30, 2000. The result of this decomposition confirmed that the proposed model is effective for analysis of buildings in urban areas.
Keywords :
airborne radar; electromagnetic wave scattering; image processing; radar imaging; radar polarimetry; scattering; synthetic aperture radar; AD 2000 09 30; DLR; ESAR L-band full-polarized image; Experimental Synthetic Aperture Radar; German Aerospace Center; Germany; MCSM; Oberpfaffenhofen Test Site Area; asymmetric reflection condition; building analysis; copolar correlation; cross-polar correlation; double-bounce scattering model; elementary scattering mechanisms; helix scattering model; multiple-component scattering model; polarimetric SAR image decomposition; single-bounce scattering model; urban areas; volume scattering model; wire scattering model; Multiple-component scattering model (MCSM); polarimetric synthetic aperture radar (PolSAR); scattering mechanism; target decomposition;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2008.2000795
Filename :
4656473
Link To Document :
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