Dim small targets detection based on statistical block low-rank background modeling

doi:10.1117/12.2547630

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 光电探测与信号处理研究室（五室）

	Dim small targets detection based on statistical block low-rank background modeling
	Li, Biao 1,2,3; Xu, Zhiyong 2,3; Zhang, Jianlin 2,3; Fan, Xiangsuo 1,2,3
	2019
会议日期	July 7, 2019 - July 9, 2019
会议地点	Beijing, China
关键词	statistical block low-rank background targets detection stationarity principal component analysis dim small targets SBLR background reconstruction
卷号	11338
DOI	10.1117/12.2547630
页码	113382J
英文摘要	How to effectively detect weak targets from complex background is always a challenging problem and is a meaningful research subject with practical significance. In this paper, the complex video frame images are considered as a spatial random process, and the stationarity and low-rank characteristics of different components of the image are related to theirs statistical characteristics. According to this view, a statistical block low-rank background modeling algorithm (for short: SBLR) is proposed. This paper first analyzes the regional statistical characteristics of the image, and then uses k-mean statistical clustering algorithm to divide the image into statistical blocks to obtain the statistical block images. Then, the characteristics of each component of the statistical block image are analyzed to establish a model composed of statistical block low rank background and sparse components. Next, according to the characteristics of each component of the model, the solution scheme of principal component analysis is adopted, and the specific solution algorithm is given. Finally, the background reconstruction experiment according to SBLR algorithm and target detection experiment are carried out. Experiments show that the algorithm proposed in this paper achieves good accuracy in the background reconstruction of complex scenes, the background is significantly suppressed, the target is significantly enhanced, and the target detection rate is high. © 2019 copyright SPIE. Downloading of the abstract is permitted for personal use only.
会议录	Proceedings of SPIE 11338 - AOPC 2019: Optical Sensing and Imaging Technology
会议录出版者	SPIE
文献子类	会议论文
语种	英语
ISSN号	0277-786X
WOS研究方向	Optics ; Imaging Science & Photographic Technology
WOS记录号	WOS:000525830600088
内容类型	会议论文
源URL	[http://ir.ioe.ac.cn/handle/181551/9637]
专题	光电技术研究所_光电探测与信号处理研究室（五室）
作者单位	1.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.University of Chinese, Academy of Sciences, Beijing; 100049, China
推荐引用方式 GB/T 7714	Li, Biao,Xu, Zhiyong,Zhang, Jianlin,et al. Dim small targets detection based on statistical block low-rank background modeling[C]. 见:. Beijing, China. July 7, 2019 - July 9, 2019.