Fast solution to nonnegative eigenvalue decomposition for polarimetric SAR

2013 ◽  
Vol 49 (6) ◽  
pp. 419-420 ◽  
Author(s):  
G. F. Liu ◽  
M. Li ◽  
Y. J. Wang ◽  
P. Zhang
2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Shuang Zhang ◽  
Shuang Wang ◽  
Bo Chen

Because of the rapid advancement of the airborne sensors and spaceborne sensors, large volumes of fully polarimetric synthetic aperture radar (PolSAR) data are available, but they are too complex to interpret difficultly. In this paper, a modified hybrid Freeman/eigenvalue decomposition method for the coherency matrix derived from the fully PolSAR sensors is proposed. The proposed modified hybrid Freeman/eigenvalue decomposition uses a real unitary transformation on the coherency matrix to release correlations between the copolarized term and cross polarized term, and the scattering models are derived from eigenvectors of the coherency matrix with reflection symmetry condition. The anisotropy and entropy are used to determine whether the volume scattering component is derived from the man-made structures or not. Moreover, the scattering powers from the proposed hybrid Freeman/eigenvalue decomposition are all nonnegative values. Fully PolSAR data on San Francisco acquired by AIRSAR sensor are used in the experiments to prove the efficacy of the proposed decomposition.


PIERS Online ◽  
2010 ◽  
Vol 6 (5) ◽  
pp. 465-469 ◽  
Author(s):  
Hubert M. J. Cantalloube ◽  
B. Fromentin-Denoziere ◽  
C. E. Nahum
Keyword(s):  

PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 625-628
Author(s):  
Jian Yang ◽  
Xiaoli She ◽  
Tao Xiong

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