运动弱小目标先跟踪后检测技术的研究进展

Advances on Track before Detect for Dim Small Moving Target Detection

对低信噪比下图像序列运动小目标先跟踪后检测技术进行了较为系统地研究。首先针对运动弱小目标检测问题,分析比较了先检测后跟踪技术与先跟踪后检测技术;详细阐述了先跟踪后检测技术的主流算法,包括时空域匹配滤波器、基于投影变换与三维匹配滤波相结合的算法、多阶假设检验、动态规划算法、高阶相关方法、递推贝叶斯滤波等算法,并比较了其中几种算法。

Track before Detect technology for dim small moving targets in low SNR image sequences was surveyed. Aiming at dim small moving target detection problems, Detect before Track （DBT） and Track before Detect （TBD） were analyzed and compared. The mainstream algorithms of TBD, such as spatial-temporal matched filters, detection algorithm based on projection and 3-D match filters, multistage hypothesis testing, dynamic programming algorithm, high order correlation method, recursive Bayesian filters and so on, were demonstrated in details, some of them were comoared.