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
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;
Conference_Titel :
Microwave Conference, 2007. European
Conference_Location :
Munich
Print_ISBN :
978-2-87487-001-9
DOI :
10.1109/EUMC.2007.4405544
