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