Dim small targets detection based on statistical block low-rank background modeling
文献类型：会议论文
| 作者 | Li, Biao1,2,3; Xu, Zhiyong2,3; Zhang, Jianlin2,3; Fan, Xiangsuo1,2,3 |
| 出版日期 | 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
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| 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 |
| 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. |
入库方式： OAI收割
来源：光电技术研究所
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