Statistical CLEAN technique for ISAR imaging
Date
2007
Authors
Martorella, Marco
Acito, Nicola
Berizzi, Fabrizio
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2007; 45(11 Part 1):3552-3560
Statement of Responsibility
Marco Martorella, Nicola Acito, and Fabrizio Berizzi
Conference Name
Abstract
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.
School/Discipline
School of Electrical and Electronic Engineering
Dissertation Note
Provenance
Description
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