A novel approach to polarimetric SAR data processing based on Nonlinear PCA

2014 ◽  
Vol 47 (5) ◽  
pp. 1953-1967 ◽  
Author(s):  
Giorgio Licciardi ◽  
Ruggero Giuseppe Avezzano ◽  
Fabio Del Frate ◽  
Giovanni Schiavon ◽  
Jocelyn Chanussot
2016 ◽  
Vol 7 (1) ◽  
pp. 10-19 ◽  
Author(s):  
B. Scheuchl

Polarimetric SAR data provide information about the scattering of the area observed. The availability of data stacks allows the identification of stable targets and subsequent scattering analysis with a high degree of confidence at full resolution. A novel approach to find and evaluate polarimetric persistent target is presented, that is an extension of well-established analysis methods for single scenes. The use of the Cloude-Pottier distributed target decomposition analysis applied on the temporal averages (as opposed to spatial averaging), combined with a Cameron point target analysis applied on each layer separately to select pixels only, provides an efficient scattering classification of polarimetric persistent point targets in the stack. This method can also be used to analyze targets identified through other means, albeit at a lower degree of confidence. The approach retains the full resolution of the data set, though temporal changes between acquisitions add additional complexity. Result interpretation is therefore performed under consideration of a set of boundary conditions. Results from the analysis of two polarimetric data stacks acquired by RADARSAT-2 are shown.


2010 ◽  
Vol 32 (11) ◽  
pp. 2655-2660
Author(s):  
Yun-kai Deng ◽  
Xiao-xue Jia ◽  
Jin Feng ◽  
Wei Xu
Keyword(s):  

2011 ◽  
Vol 33 (6) ◽  
pp. 1453-1458 ◽  
Author(s):  
Zhong-yuan Xiao ◽  
Hua-ping Xu ◽  
Chun-sheng Li
Keyword(s):  

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