Target Recognition by Means of Polarimetric ISAR Images

被引：70

作者：

Martorella, M. ^{[1
]}

Giusti, E. ^{[1
]}

Demi, L.

Zhou, Z. ^{[2
]}

Cacciamano, A. ^{[1
]}

Berizzi, F. ^{[1
]}

Bates, B. ^{[3
]}

机构：

[1] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy

[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia

[3] Def Sci & Technol Org, Elect Warfare Div, Edinburgh, SA 5111, Australia

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2011年 / 47卷 / 01期

关键词：

SAR; CLASSIFICATION;

D O I：

10.1109/TAES.2011.5705672

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Automatic target recognition (ATR) is generally the reason why inverse synthetic aperture radar (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. The authors propose a novel technique for ATR using polarimetric ISAR (Pol-ISAR) images. The proposed method is based on a model matching approach. Results are obtained that show the effectiveness of such a technique.

引用

页码：225 / 239

页数：15

共 23 条

[1]

Boerner W.-M., 1990, IEEE Aerospace and Electronics Systems Magazine, V5, P3, DOI 10.1109/62.54634

[2]

CACCIAMANO A, 2007, P INT RAD S 2007 COL

[3] An entropy based classification scheme for land applications of polarimetric SAR [J].