融合局部熵二维熵的空中目标跟踪算法研究

提出了一种将局部熵算法和二维熵算法结合的空中目标跟踪算法。此算法通过一定的准则合理地融合局部熵和二维熵算法,然后进行目标定位跟踪。既能实现空中小目标的准确跟踪,也能实现空中面目标的准确跟踪;同时针对大小不变的带宽窗口可能导致目标跟踪丢失的问题,采用了自动调节带宽窗口的方法,让跟踪结果稳定可靠。并且算法实现运用了局部熵和二维熵的快速算法,大大减小了系统检测模块所消耗的时间,使跟踪具有实时性和鲁棒性,此外也能将融合算法有效地移植到DSP上,实现工程应用。此算法可以应用于导弹跟踪、空中监控、海空预警等许多领域。

Integrated with local entropy dimensional entropy air target tracking algorithm

This paper presents an algorithm that combines the local entropy and two-dimensional entropy algorithm for aerial target tracking algorithm.This algorithm combines local entropy and two-dimensional entropy algorithm through certain criteria reasonably,then starting the target location and tracking.Both to achieve accurately tracking small target,but also to achieve accurately tracking surface target; while the same size bandwidth window may lead to loss problem,this paper uses a method of automatically adjust to the bandwidth of the window.This paper also uses fast algorithm of local entropy and entropy dimensional,which reduces the amount of time to tracking,so this algorithm are real-time tracking and robustness.In addition that the fusion algorithm can effectively transferred to the DSP,then the project in the application of aerial target tracking can realize.This algorithm can be applied to missile tracking,aerial surveillance,early warning,and many other areas of air and sea.