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来源：百度知道 编辑：UC知道 时间：2024/05/16 00:46:44
首先详细介绍了微弱点状多目标检测的相关理论，移动通信领域的时空分集理论、TBD检测算法等。本文将这些理论算法应用到图像序列中微弱点状目标的检测，研究了一种基于组合帧图像区域划分、目标群概率加权以及帧间互关联的TBD目标搜索和运动轨迹估计技术。此技术首先将序列图像在时域上进行组合，消除背景影响，在此基础上对组合帧图像进行网格划分估计出目标个数及各个目标的存在区域，从而在有效的减少计算量的同时，准确的搜索到各个目标，然后利用帧间目标的双向互关联特性初始化各目标的航迹。
本文采用MATLAB平台对所述算法行了仿真，仿真结果和试验数据证明了本文所提算法的可行性和有效性，具有一定的应用价值。
"Image sequence in the weak point target detection and more movement on track" as active research in the field of vision of a new branch, with its growing number of applications today become the hotspot, and point targets because of the characteristics and objectives of contrast Low, random movement, so that goal in the image of the search, detection more difficult.
First of all details of the weak points more than the target detection theory, the field of mobile communications space-time sub-set theory, TBD detection algorithm. This paper will be applied to these theories algorithm image sequence in the weak point target detection, based on a combination of frames regional division, probability-weighted target group linked to each other and the Inter goal TBD search technology and the estimated trajectory. This technology will be the first image in time sequence on the combination, to eliminate background effects, on the basis of the combination of frame images mesh