Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain | |
Wang, M.; J. Zhao; T. Chen and B. Cui | |
2017 | |
发表期刊 | Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology |
卷号 | 39期号:7 |
摘要 | To accurately locate, track space targets, and establish targets trajectory, a study on moving target detection based on motion information for star maps is practiced. Firstly, a new model to characterize the space moving target is constructed, then an algorithm for moving point target detection is proposed based on correlation coefficient matrix statistical information. Based on the detection method, target motion trajectory is finally extracted and the velocity estimation model of the moving target is built. This paper also proposes an evaluation method, which combines detection probability and false alarm probability, to verify this method. The experimental results demonstrate that the proposed method outperforms the compared methods and can achieve high detection probability while keeping low false alarm probability. Compared with simply expanding telescope diameter, this method provides a higher performance-price ratio way to improve the ability of space target detection. 2017, Science Press. All right reserved. |
收录类别 | ei |
语种 | 中文 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/59264 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Wang, M.,J. Zhao,T. Chen and B. Cui. Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain[J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2017,39(7). |
APA | Wang, M.,J. Zhao,&T. Chen and B. Cui.(2017).Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain.Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,39(7). |
MLA | Wang, M.,et al."Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain".Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 39.7(2017). |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Moving Point Object (4944KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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