Statistical CLEAN technique for ISAR imaging
| dc.contributor.author | Martorella, Marco | en |
| dc.contributor.author | Acito, Nicola | en |
| dc.contributor.author | Berizzi, Fabrizio | en |
| dc.contributor.school | School of Electrical and Electronic Engineering | en |
| dc.date.issued | 2007 | en |
| dc.description | © Copyright 2009 IEEE – All Rights Reserved | en |
| dc.description.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. | en |
| dc.description.statementofresponsibility | Marco Martorella, Nicola Acito, and Fabrizio Berizzi | en |
| dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2007; 45(11 Part 1):3552-3560 | en |
| dc.identifier.doi | 10.1109/TGRS.2007.897440 | en |
| dc.identifier.issn | 0196-2892 | en |
| dc.identifier.uri | http://hdl.handle.net/2440/49962 | |
| dc.language.iso | en | en |
| dc.publisher | IEEE - Institute of Electrical and Electronics Engineers | en |
| dc.title | Statistical CLEAN technique for ISAR imaging | en |
| dc.type | Journal article | en |