动态规划算法在运动点目标检测中的应用研究

张兵; 卢焕章

动态规划算法在运动点目标检测中的应用研究

张兵,
卢焕章

计量
- 文章访问数: 2257
- HTML全文浏览量: 96
- PDF下载量: 830
- 被引次数: 0
出版历程
- 收稿日期: 2003-07-17
- 修回日期: 2004-01-05
- 刊出日期: 2004-12-19

Dynamic Programming Algorithm for Detecting Moving Point Targets

摘要

摘要: 序列图像中低信噪比运动点目标的实时检测算法,是许多实时处理系统中的关键算法之一。该文在对面临的实际问题与对检测算法分析的基础上,详细阐述和研究了利用LS线性预测器的动态规划能量累积算法,并根据仿真实验的效果,指出此算法较直接动态规划能量累积算法可最大程度地降低能量扩散,减少团聚在目标周围的虚警目标点,十分利于后续轨迹关联检测处理.
- 动态规划; 低信噪比点目标; 最小二乘预测器
Abstract: The real-time detection algorithm of moving point target in image sequences is one of key algorithms in many real-time processing systems. After the analysis of real background and the demand of the detection algorithm, this paper presents a research of the dynamic programming with LS linear predictor for detecting low SNR moving targets. With the result of simulation test, it can be pointed out that the introduced algorithm can effectively suppress the target energy pervasion and reduce the false alarms around the real target. The result is very suitable for the point-track predicting and matching algorithm for detecting the target trajectory.

HTML全文

参考文献(1)

陈华明.图像末制导中弱小运动点目标检测算法与实现技术.[博士论文],长沙:国防科技大学,2003.[2]陈尚锋.基于加权动态规划的小目标检测算法研究.[硕士论文],长沙:国防科技大学,2002.[3]Zhang Bing.[J].Lu Huanzhang. The predicting and matching detection algorithm of moving point target in image sequences. In: Proc. of the IEEE International Conference on Neural Networks Signal Processing, Nanjing, China.2003,:-[4]Bar-Shalom Y. Multi-target Multi-sensor Tracking: Advanced Applications. Norwood, MA, USA:Artech House Inc., 1990: Chapter 4. [5]Arnold J, Pastenack H. Detection and tracking of low-observable targets through dynamic programming. In: Proc. of the SPIE Conference on Signal and Data Processing of Small Targets,Orlando, Florida, USA: SPIE, 1990, 1305: 207-217.[5]Tonissen S M, Evans R J. Performance of dynamic programming techniques for track before detect. IEEE Trans. on AES, 1996, 32(4): 1440-1450.[6]Johnston L A, Krishnamurthy V. Performance analysis of a dynamic programming track before detect algorithm. IEEE Trans. on AES, 2002, 38(1): 228-242.[7]Nishiguchi K, Kobayashi M, Ichikawa A. Small target detection from image sequences using recursive max filter. In: Proc. of the SPIE Conference on Signal and Data Processing of Small Targets, San Diego, California, USA: SPIE, 1995, 2561: 153-166.[8]潘巧海,李东晓,姚庆栋,陈晓出.基于最大值递归滤波器的暗点目标检测算法.红外与毫米波学报,2000,19(3):224-228.[9]杨宜禾,周维真.成像跟踪技术导论.西安:西安电子科技大学出版社,1994:129-134.

施引文献

资源附件(0)

访问统计