DocumentCode
2851587
Title
Target Classification by Means of Fully Polarimetric ISAR Images
Author
Martorella, M. ; Berizzi, F. ; Soleti, R. ; Cantini, L. ; Corucci, A. ; Haywood, B. ; Palmer, J.
Author_Institution
Dept. of Ing. dell´´Inf., Univ. of Pisa, Pisa
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
141
Lastpage
144
Abstract
In ISAR systems, fully polarimetric capabilities have not been fully exploited for target classification or recognition. In this paper, a full system that reconstructs the polarimetric ISAR image and classifies the target is proposed and tested on simulated data.
Keywords
feature extraction; geophysical techniques; image classification; radar polarimetry; remote sensing by radar; synthetic aperture radar; target tracking; inverse synthetic aperture radar; polarimetric ISAR images; target classification; target recognition; Feature extraction; Neural networks; Optical scattering; Pixel; Polarization; Radar imaging; Radar polarimetry; Radar scattering; Spaceborne radar; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.41
Filename
4241188
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