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
fDate :
July 31 2006-Aug. 4 2006
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.41
