DocumentCode :
1398898
Title :
Assessment of System Polarization Quality for Polarimetric SAR Imagery and Target Decomposition
Author :
Wang, Yanting ; Ainsworth, Thomas L. ; Lee, Jong-Sen
Author_Institution :
Comput. Phys., Inc., Springfield, VA, USA
Volume :
49
Issue :
5
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
1755
Lastpage :
1771
Abstract :
The quality of polarimetric synthetic aperture radar (PolSAR) imagery and its polarimetric decompositions depends on the accuracy of polarimetric observations of the SAR system and its calibration. Polarization distortions on the polarimetric measurement can be incurred due to nonideal system polarization quality and propagation factors, such as channel imbalance, crosstalk, and Faraday rotation at lower frequencies. All these distortions have varying impacts on different target types as well as different decomposition methods. In this paper, we assess the polarization quality of the PolSAR system in the context of polarimetric imagery analysis and quantify the various effects of polarization distortions on polarization target decompositions. A generic metric is defined to measure the polarization purity of the system. Considering the fact that target decomposition plays an important role in imagery analysis, we apply several widely used decomposition methods to showcase the polarimetric system requirement based on the defined metric. We demonstrate that this metric can be used for radar system design and polarimetric data calibration.
Keywords :
radar imaging; synthetic aperture radar; Faraday rotation; PolSAR imagery; channel imbalance; crosstalk; generic metric; lower frequency; polarimetric SAR imagery; polarimetric data calibration; polarimetric decomposition; polarization distortion; radar system design; system polarization quality assessment; target decomposition; Calibration; Crosstalk; Distortion measurement; Faraday effect; Measurement errors; Scattering; Calibration; radar polarimetry; synthetic aperture radar (SAR); system analysis and design; target decomposition;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2010.2087342
Filename :
5661826
Link To Document :
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