An SAR ATR Method Based on Scattering Centre Feature and Bipartite Graph Matching

被引：18
|
作者：
Tian, Sirui [1 ]
Yin, Kuiying [2 ]
Wang, Chao [3 ]
Zhang, Hong [3 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Dept Elect Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Nanjing Res Inst Elect Technol, Nanjing 210039, Jiangsu, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
来源：
IETE TECHNICAL REVIEW | 2015年 / 32卷 / 05期
关键词：
csiEnFCM; SAR ATR; Scattering centre model; Template matching; Weighted bipartite graph; World view vector; AUTOMATIC TARGET RECOGNITION;
D O I：
10.1080/02564602.2015.1019941
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 a crucial application for synthetic aperture radar (SAR). This paper presents an ATR method with the scattering centre (SC) based on the world view vector (WVV) and the weighted bipartite graph model (WBGM). Targets are separated by the filter-based cluster size insensitive enhanced fuzzy c-mean cluster (csiEnFCM) algorithm before feature extraction. Later, WVV-based feature set is constructed with the extracted SCs. Subsequently, the WBGM is applied to recognize target by matching its feature set with templates. Experiments on the moving and stationary target recognition (MSTAR) dataset demonstrate that the proposed method performs well in ATR.
引用
收藏
页码：364 / 375
页数：12
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