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CLEAN Technique for Polarimetric ISAR
Author(s) -
Marco Martorella,
A. Cacciamano,
Elisa Giusti,
F. Berizzi,
B. Haywood,
B. Bates
Publication year - 2008
Publication title -
international journal of navigation and observation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.176
H-Index - 18
eISSN - 1687-6008
pISSN - 1687-5990
DOI - 10.1155/2008/325279
Subject(s) - inverse synthetic aperture radar , polarimetry , computer science , scattering , synthetic aperture radar , artificial intelligence , remote sensing , radar imaging , radar , computer vision , pattern recognition (psychology) , physics , optics , geology , telecommunications
Inverse synthetic aperture radar (ISAR) images are often used for classifying and recognising targets. To reduce the amount of data processed by the classifier, scattering centres are extracted from the ISAR image and used for classifying and recognising targets. This paper addresses the problem of estimating the position and the scattering vector of target scattering centres from polarimetric ISAR images. The proposed technique is obtained by extending the CLEAN technique, which was introduced in radar imaging for extracting scattering centres from single-polarisation ISAR images. The effectiveness of the proposed algorithm, namely, the Polarimetric CLEAN (Pol-CLEAN) is tested on simulated and real data

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