DocumentCode
482009
Title
Incoherent Polarimetric ISAR Decomposition for target classification
Author
Paladini, R. ; Martorella, M. ; Berizzi, F.
Author_Institution
Dept. of "Ing. dell\´\´Inf.", Univ. of Pisa, Pisa
fYear
2008
fDate
30-31 Oct. 2008
Firstpage
33
Lastpage
36
Abstract
The incoherent target decomposition theorem (ICTD) has been largely used when dealing with the problem of classifying distributed targets by using polarimetric synthetic aperture radar (PolSAR) images. In this paper, a method based on the use of the ICTD and the nearest neighbour classifier is proposed and applied to man made point-like targets in an ISAR-like scenario. the algorithm is tested by using real data in several signal to noise ratio (SNR) scenarios.
Keywords
radar imaging; radar polarimetry; synthetic aperture radar; target tracking; incoherent polarimetric ISAR decomposition; man made point-like targets; synthetic aperture radar image; target classification; Covariance matrix; Matrix decomposition; Pixel; Polarimetric synthetic aperture radar; Radar imaging; Radar polarimetry; Radar scattering; Radar theory; Signal to noise ratio; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2008. EuRAD 2008. European
Conference_Location
Amsterdam
Print_ISBN
978-2-87487-009-5
Type
conf
Filename
4760794
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