Automatic Target Recognition by means of Polarimetric ISAR Images: a Model Matching Based Algorithm

被引：1

作者：

Martorella, M. ^{[1
]}

Giusti, E. ^{[1
]}

Demi, L. ^{[1
]}

Zhou, Z. ^{[3
]}

Cacciamano, A. ^{[1
]}

Berizzi, F. ^{[1
]}

Bates, B. ^{[2
,3
]}

机构：

[1] Univ Pisa, Dept Ingn Informaz, Via Caruso 16, I-56122 Pisa, Italy

[2] Def Sci & Technol Organisat, Edinburgh 5111, Australia

[3] Univ Adelaide, Sch EEE, Adelaide, SA 5005, Australia

来源：

2008 INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2008年

关键词：

D O I：

10.1109/ISWCS.2008.4726009

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Automatic Target Recognition (ATR) is generally the reason why ISAR imaging systems are employed. Moreover, the use of fully polarimetric radar systems in radar imaging applications such as SAR and ISAR has enhanced both image quality and classification capabilities. In this paper, the authors propose a novel technique for ATR by using Polarimetric ISAR (Pol-ISAR) images. The proposed method is based on a model matching approach. Results are obtained by using real data that show the effectiveness of such technique.

引用

页码：16 / +

页数：2

共 9 条

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