Statistical CLEAN Technique for ISAR Imaging

• Published in: IEEE transactions on geoscience and remote sensing Vol. 45; no. 11; pp. 3552 - 3560
• Main Authors: Martorella, M., Acito, N., Berizzi, F.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2007; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aperture radar; Array signal processing; Classification; Classifiers; Cleaning; Data mining; Extraction; Gaussian processes; Image recognition; Image reconstruction; inverse synthetic; Probability; Radar scattering; Radar signal processing; Recognition; Remote sensing; Scattering; statistical signal processing; Target recognition; Testing; statistical signal processing; inverse synthetic; Aperture radar
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2007.897440

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.