Shadow-Based False Target Identification for SAR Images

被引:1
|
作者
Zhang, Haoyu [1 ]
Quan, Sinong [1 ]
Xing, Shiqi [1 ]
Wang, Junpeng [1 ]
Li, Yongzhen [1 ]
Wang, Ping [2 ]
机构
[1] Natl Univ Def Technol, State Key Lab Complex Electromagnet Environm Effec, Changsha 410076, Peoples R China
[2] Natl Univ Def Technol, Natl Key Lab Sci & Technol ATR, Changsha 410076, Peoples R China
关键词
synthetic aperture radar; false target identification; shadow feature; jamming detection;
D O I
10.3390/rs15215259
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detection. Compared with classical features such as texture, scale, and shape, shadow has better discernability and separability. In this paper, target shadow is investigated and applied to detect jamming in Synthetic Aperture Radar (SAR) images, and a SAR false target identification method based on shadow features is proposed. First, a difference image is generated by change detection, which can extract the shadow region in single-time SAR images. Then, a three-step differentiation condition is proposed, which can distinguish false targets from real targets. Simulated experimental results show that the proposed method can effectively extract the shadow region in SAR images and accurately distinguishreal and false targets. Furthermore, the potential of shadow in SAR image interpretation and electronic countermeasures is also demonstrated.
引用
收藏
页数:14
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