Paper Info
Title
Statistical Assessment Of Eigenvector-Based Target Decomposition Theorems In Radar Polarimetry
Abstract
This paper concerns the analytical study of the eigen decomposition of hermitian, positive semidefinite matrices applied to PolSAR data analysis. Based on the Gaussian scattering assumption for multidimensional SAR data, the joint distribution of the sample eigenvalues of the coherency, or covariance, matrices is derived for a general case. The distribution is particularized for PolSAR data, and the moments of the sample eigenvalues, the entropy (H), and the anisotropy (A) are analyzed.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1368992
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET
Keywords
DocType
Volume
SAR polarimetry, target decomposition theorems, speckle noise, statistical characterization
Conference
43
Issue
ISSN
Citations 
9
2153-6996
51
PageRank 
References 
Authors
3.48
10
2
Name
Order
Citations
PageRank
Carlos López-Martínez129424.70
Eric Pottier219024.49