DocumentCode
2412799
Title
Statistical distribution for scattering mechanism of targets based on eigenvector decomposition in Polarimetric Radars
Author
Zakeri, B. ; Ghorbani, A. ; Galletti, Michele
Author_Institution
Islamic Azad Univ., Chemnitz
fYear
2007
fDate
9-12 Oct. 2007
Firstpage
1712
Lastpage
1714
Abstract
In this paper a decomposition scheme for analysis and classification of statistical radar targets is presented. For this purpose eigenvector target decomposition (ETD) analysis method is used for calculating coherency eigenvalues. Also a simulation scheme is developed for calculating entropy, scattering mechanism for discrimination of several surface scattering objects within distributed targets. As results, radar image data set have been used for compare.
Keywords
eigenvalues and eigenfunctions; entropy; radar imaging; radar polarimetry; radar tracking; scattering; statistical distributions; target tracking; coherency eigenvalues; distributed target; eigenvector target decomposition; entropy; polarimetric radar; radar image data set; statistical distribution; statistical radar target; surface scattering object; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Matrix decomposition; Particle scattering; Radar imaging; Radar polarimetry; Radar remote sensing; Radar scattering; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference, 2007. European
Conference_Location
Munich
Print_ISBN
978-2-87487-001-9
Type
conf
DOI
10.1109/EUMC.2007.4405544
Filename
4405544
Link To Document