DocumentCode :
104908
Title :
Modification of Polarimetric SAR Interferometry Target Decomposition With Accurate Topography
Author :
Shenglong Guo ; Yang Li ; Jingjing Zhang ; Qiang Yin ; Wen Hong
Author_Institution :
Sci. & Technol. on Microwave Imaging Lab., Inst. of Electron., Beijing, China
Volume :
12
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
1476
Lastpage :
1480
Abstract :
In this letter, an accurate topographical phase is applied to the model-based (odd-bounce, double-bounce, and volume scattering) decomposition of synthetic aperture radar (SAR) interferometry data. The decomposition procedure considered here is a determined nonlinear equation system that can be solved numerically. The accurate topographical phase is first estimated and then used as the initial input parameter to our numerical method. This approach avoids large errors generated by the constant topographical phase in fluctuating forested areas. Additionally, the modified volume scattering model introduced by Yamaguchi et al. is applied to the polarimetric SAR interferometric target decomposition data of forested areas, rather than the purely random volume scattering of Freeman and Durden, to produce the best fit to the measured data. This method retrieves the magnitude associated with each mechanism and their heights. The quality of the decomposition is demonstrated using L-band simulated data created with PolSARproSim software and L-band airborne data (BioSAR 2008) acquired by the DLR E-SAR in the Vindeln Municipality in northern Sweden.
Keywords :
airborne radar; electromagnetic wave scattering; nonlinear equations; phase estimation; radar interferometry; radar polarimetry; singular value decomposition; synthetic aperture radar; DLR E-SAR; L-band airborne data; L-band simulated data; PolSARproSim software; accurate topographical phase estimation; forested areas; model-based decomposition; modified volume scattering model; nonlinear equation system; numerical method; polarimetric SAR interferometry; synthetic aperture radar; target decomposition; Coherence; Covariance matrices; Matrix decomposition; Surface topography; Synthetic aperture radar; Vegetation; Ground topographical phase estimation; polarimetric SAR interferometry (PolInSAR); target decomposition; vegetation coherence region;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2409311
Filename :
7061961
Link To Document :
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