一种弱小目标的自适应搜索方法  

An adaptive searching method for faint targets

作　　者：彭真明[1] 张启衡[1] 王敬儒[1] 张覃平[1] 

机构地区：[1]中国科学院光电技术研究所,四川成都610209

出　　处：《光电工程》2003年第4期15-19,共5页Opto-Electronic Engineering

基　　金：863计划激光技术领域预研基金资助项目

摘　　要：针对成像跟踪系统中弱小目标搜索定位的难题,提出了一种新的自适应搜索算法,即利用全局寻优的自适应遗传算法搜索目标,以目标的多特征融合信息作为最佳定位的判断准则和适应度函数。实验结果表明,该方法不仅提高了检测精度,也改善了跟踪算法的稳定性和智能策略。A new adaptive searching algorithm, i.e., searching for targets with adaptive genetic algorithm by means of global optimizing and using multiple-feature fusion information of the target as its judgment criterion and adaptability function for optimal positioning, is proposed against the knotty problem of faint targets positioning in an imaging and tracking system. The experimental results show that the method not only improves the detection accuracy, but also enhances the stability and intelligent strategy of the tracking algorithm.

关 键 词：目标跟踪 多特征融合 自适应搜索 

分 类 号：V556[航空宇航科学与技术—人机与环境工程]