DocumentCode :
1496410
Title :
Four-Component Model-Based Decomposition of Polarimetric SAR Data for Special Ground Objects
Author :
Shan, Zili ; Zhang, Hong ; Wang, Chao ; An, Wentao ; Wu, Tao ; Chen, Xi
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Volume :
9
Issue :
5
fYear :
2012
Firstpage :
989
Lastpage :
993
Abstract :
A four-component model-based decomposition for polarimetric synthetic aperture radar (SAR) images is proposed to deal with the ground objects with orientation angles around 45°. In the previous decompositions, these special targets are mixed with the vegetated areas. With the deficiency of the previous decompositions analyzed, the ambiguity between two scattering mechanisms is clarified. A rotated Fresnel dihedral reflection model is introduced in the proposed algorithm, to model the scattering characteristics of these special targets. The nonnegative eigenvalue decomposition is applied to the remainder coherency matrix to prevent negative powers of the decomposed scattering mechanisms. Another advantage of the proposed decomposition is that it makes use of all the information provided by the coherency matrix, which remains unachieved in the previous model-based decompositions. Experimental Synthetic Aperture Radar (E-SAR) L-band polarimetric SAR data acquired over Oberpfaffenhofen, Germany, are analyzed in this letter. Experimental results indicate that the special ground objects have acquired correct scattering mechanisms, which verifies the effectiveness of the proposed method.
Keywords :
Fresnel diffraction; eigenvalues and eigenfunctions; geophysical image processing; geophysical techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; Germany; L-band polarimetric SAR data; Oberpfaffenhofen; coherency matrix; decomposed scattering mechanism; four-component model-based decomposition; ground objects; nonnegative eigenvalue decomposition; polarimetric synthetic aperture radar images; rotated Fresnel dihedral reflection model; vegetated area; Buildings; Data models; Matrix decomposition; Remote sensing; Scattering; Synthetic aperture radar; Vegetation mapping; Four-component decomposition; nonnegative eigenvalue decomposition (NNED); rotated double-bounce model; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2012.2188092
Filename :
6184285
Link To Document :
بازگشت