Point target detection based on multiscale morphological filtering and an energy concentration criterion

	Point target detection based on multiscale morphological filtering and an energy concentration criterion
	Liu, R.; D. J. Wang; D. B. Zhou and P. Jia
	2017
发表期刊	Applied Optics
卷号	56 期号:24
摘要	The research on optical imaging characteristics of infrared dim point targets in the presence of nonstationary cloud clutter and random noise is necessary for target detection. We analyze the energy concentration of point targets that are less than 3 x 3 pixels in size and deduce a simulation model of the point target imaging process. Then we adopt omnidirectional multiscale structural elements to detect all the possible targets distributing in every direction. The adaptive threshold and the energy concentration criterion are employed to eliminate false alarms. Finally, the trajectory of point targets is obtained after the low-order recursive correlation. The results show that the detection probability of the proposed method reaches 99.8% with 0.2% false alarm probability. It demonstrates that the proposed method has a good performance to suppress complex background and random noise. Also, it has the advantage of low complexity and easy implementation in a real-time system. (C) 2017 Optical Society of America
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59087
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Liu, R.,D. J. Wang,D. B. Zhou and P. Jia. Point target detection based on multiscale morphological filtering and an energy concentration criterion[J]. Applied Optics,2017,56(24).
APA	Liu, R.,D. J. Wang,&D. B. Zhou and P. Jia.(2017).Point target detection based on multiscale morphological filtering and an energy concentration criterion.Applied Optics,56(24).
MLA	Liu, R.,et al."Point target detection based on multiscale morphological filtering and an energy concentration criterion".Applied Optics 56.24(2017).

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