DocumentCode :
3608544
Title :
Model-Based Decomposition With Cross Scattering for Polarimetric SAR Urban Areas
Author :
Deliang Xiang ; Yifang Ban ; Yi Su
Author_Institution :
Div. of Geoinf., KTH R. Inst. of Technol., Stockholm, Sweden
Volume :
12
Issue :
12
fYear :
2015
Firstpage :
2496
Lastpage :
2500
Abstract :
Cross-polarized scattering (HV) is not only caused by vegetation but also by rotated dihedrals. In this letter, we use rotated dihedral corner reflectors to form a cross scattering matrix and propose an extended model-based decomposition method for polarimetric synthetic aperture radar (PolSAR) data over urban areas. Unlike other urban decomposition techniques which need to discriminate between urban and natural areas before decomposition, this proposed method is applied directly on the PolSAR image. The building orientation angle is considered in this scattering matrix, making it flexible and adaptive in the decomposition process. This enables the separation of the cross scattering of urban areas from the overall HV component. The cross and helix scattering components are also compared in this study. RADARSAT-2 quad-pol C band and AIRSAR L band data are used to validate the performance of the proposed method. The cross scattering power of oriented buildings is generated, leading to a better decomposition result for urban areas with respect to other urban decomposition techniques.
Keywords :
radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; AIRSAR L band data; PolSAR image; RADARSAT-2 quad-pol C band data; building orientation angle; cross scattering power; cross-polarized scattering; helix scattering component; model-based urban decomposition techniques; natural areas; polarimetric SAR urban areas; rotated dihedral corner reflectors; scattering matrix; vegetation; Buildings; Matrix decomposition; Remote sensing; Scattering; Synthetic aperture radar; Urban areas; Yttrium; Building orientation angle; cross scattering matrix; model-based decomposition; polarimetric SAR (PolSAR); urban areas;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2487450
Filename :
7300379
Link To Document :
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