Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on Polarimetric ISAR images

被引：0
|
作者：
Lischi, Stefano [1 ,2 ]
Lupidi, Alberto [2 ]
Giusti, Elisa [1 ,2 ]
Martorella, Marco [1 ,2 ]
机构：
[1] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy
[2] CNIT, Natl Lab, RaSS, I-56124 Pisa, Italy
来源：
2014 11TH EUROPEAN RADAR CONFERENCE (EURAD) | 2014年
关键词：
Automatic target recognition; Pol-ISAR images; polarimetric target decomposition; CLASSIFICATION;
D O I：
暂无
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：
An Automatic Target Recognition (ATR) algorithm is presented in this paper that is based on the use of polarimetric ISAR (Pol-ISAR) images and Target Decomposition (TD) theory. Specifically both Coherent Target Decomposition (CTD) and InCoherent Target Decomposition (ICTD) methods are used here to extract features from Pol-ISAR images. The two methods are used here jointly to overcome their weaknesses when used separately.
引用
收藏
页码：89 / 92
页数：4
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