DocumentCode :
575965
Title :
Non-linear correction of polarization orientation for the application of ICA to PolSAR imagery
Author :
Anahara, Takuma ; Schmitt, Michael ; Susaki, Junichi
Author_Institution :
Dept. of Civil & Earth Resources Eng., Kyoto Univ., Kyoto, Japan
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3142
Lastpage :
3145
Abstract :
In this paper, we discuss invalidity of the linear mixture model of independent component analysis (ICA) and evaluate an estimation method for the polarization orientation (PO) angle in order to correct the mismatched data model regarding unmixing signals of polarimetric SAR imagery. Firstly, the linear mixture model of ICA and the nonlinear mixture model of the PO effect are described so that we refer to distorted assumption. Then, a correction method for the PO angle is introduced and tested with single- and multi-temporal L-band images in two areas. We employ two indices of class separation and statistical independence for evaluation since they are supported concerning fundamental theory and the scale problem of ICA. They show its performance of feature extraction and recovery from the invalid mixture model. With these results, we show the effectiveness of nonlinear correction for the application of ICA to polarimetric SAR imagery.
Keywords :
feature extraction; independent component analysis; radar imaging; radar polarimetry; ICA application; PO angle estimation method; POLSAR imagery; feature extraction performance; independent component analysis; invalid mixture model; mismatched data model; multitemporal L-band images; nonlinear mixture model; polarimetric synthetic aperture radar imagery; polarization orientation angle estimation method; polarization orientation nonlinear correction; single-temporal L-band images; statistical independence; unmixing signals; Data models; Estimation; Feature extraction; Independent component analysis; Principal component analysis; Synthetic aperture radar; Vectors; correction method; feature extraction; independent component analysis; polarimetric SAR; polarization orientation angle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350759
Filename :
6350759
Link To Document :
بازگشت