DocumentCode
2230018
Title
Volume scattering power restriction based on correlation coefficients for polarimetric SAR model-based decompositions
Author
Kusano, Shunichi ; Papathanassiou, Konstantinos P. ; Sato, Motoyuki
Author_Institution
Grad. Sch. of Environ. Studies, Tohoku Univ., Sendai, Japan
fYear
2012
fDate
22-27 July 2012
Firstpage
5896
Lastpage
5898
Abstract
A validation method for polarimetric SAR model-based decompositions is proposed based on correlation coefficients between polarizations. The correlation coefficient is examined if it ranges from 0 to 1 for covariance matrices after the subtraction of volumetric scattering components. The three combinations of the polarizations seen in covariance matrices are examined. It is confirmed that, in general, the condition above is not held, which clarifies the overestimate of volume scattering, even though conventional procedures take negative powers into account. Furthermore, the possible maximal power of volume scattering is estimated by employing the condition as a constraint. The constraint by correlation coefficients is a part of the one by nonnegative eigenvalues. In order to equalize them, the third-order principal minor, that is the determinant in the case of 3*3 matrices, must be considered. Finally, the possible maximal power, equal to the one derived from the constraint by nonnegative eigenvalues, can be derived analytically, while that is estimated numerically for the case of nonnegative eigenvalues.
Keywords
correlation theory; covariance matrices; eigenvalues and eigenfunctions; electromagnetic wave polarisation; electromagnetic wave scattering; radar polarimetry; synthetic aperture radar; correlation coefficient; covariance matrix; nonnegative eigenvalue; polarimetric SAR model-based decomposition; polarization; volume scattering power restriction; Correlation; Eigenvalues and eigenfunctions; Matrix decomposition; Scattering; Solid modeling; Synthetic aperture radar; Correlation coefficient; Nonnegative eigenvalue; polarimetric SAR model-based decompositions; positive semidefinite;
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.2012.6352267
Filename
6352267
Link To Document