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Statistical CLEAN Technique for ISAR Imaging.

Authors :
Martorella, Marco
Acito, Nicola
Berizzi, Fabrizio
Source :
IEEE Transactions on Geoscience & Remote Sensing. Nov2007 Part 1 of 2, Vol. 45 Issue 11, p3552-3560. 9p. 3 Black and White Photographs, 1 Chart, 13 Graphs.
Publication Year :
2007

Abstract

Inverse synthetic aperture radar (ISAR) images are frequently used in target classification and recognition applications. Some classifiers often require features that can be more easily obtained by extracting scattering centers from ISAR data rather than by reconstructing ISAR images. An available method for scattering center extraction, namely, the CLEAN technique, was proposed in a recent paper by Yang et al. In this paper, an improvement of this CLEAN technique is proposed that introduces a new method for detecting scattering centers. The proposed technique is based on a Gaussianity test, and its effectiveness is first theoretically proven and then tested on real data. Moreover, a comparison with the technique proposed by Yang et al. is shown. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
45
Issue :
11
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
27574159
Full Text :
https://doi.org/10.1109/TGRS.2007.897440