Title :
Reduction of polarization parameters of measured coherency matrix by unitary transformations
Author :
Ning Cao ; Lamei Zhang ; Bin Zou
Author_Institution :
Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
In this paper, four unitary transformations based on coherency matrix have been proposed, which are ellipticity angle transformation, quasi-ellipticity angle transformation,, absolute phase transformation and quasi-absolute phase transformation. These four proposed unitary transformations can eliminate [T13], Re[T13], Im[T12] and Re[T12], respectively. With the supplement of the proposed four decomposition methods, there exist six angle rotation methods that can be selected to eliminate the corresponding six non-diagonal elements of the coherency matrix. It has also been found that element T33 is reduced after the rotation of ellipticity angle and quasi-ellipticity angle. Therefore, these two corresponding unitary transformations can be used in polarimetric decomposition theorem to discriminate urban blocks and vegetation. Taking ellipticity angle transformation as an example, the results of the experiment confirmed the characteristics of the proposed unitary transformations.
Keywords :
geophysical techniques; phase transformations; polarimetry; polarisation; vegetation; decomposition methods; measured coherency matrix; polarimetric decomposition theorem; polarization parameter reduction; quasiabsolute phase transformation; quasiellipticity angle rotation; quasiellipticity angle transformation; six angle rotation methods; six nondiagonal element elimination; unitary transformation characteristics; urban block discrimination; vegetation discrimination; Educational institutions; Matrix decomposition; Polarization; Remote sensing; Synthetic aperture radar; Transforms;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
Conference_Location :
Tsukuba