运动平台成像系统弱目标检测方法

本文结合机载红外搜索/跟踪系统等光学成像系统的实时信息处理需求,提出了一种运动平台条件下成像系统的空-时弱目标检测方法.该方法首先在空间上进行二维广义最大似然比检测提取出图像序列中的潜在目标,然后在时间上进行多级假设检验判决,从而检测出真实目标.算法有效均衡了统计检测性能和计算复杂度之间的矛盾,在实际应用中取得了良好的效果.

Detection Method of Dim Targets in Ego-Motion Imaging System

Due to the desire for real-time information processing of optical imaging system,such as infrared search/track(IRST) systems,we proposed a space-temporal dim target detection method in ego-motion imaging systems.A spatial two-dimensional generalized likelihood ratio test algorithm was employed to extract underlying objects.Then the measurable discriminable feature was combined to a feature vector which was associated with the object.The correct target in image sequence was detected by multistage hypothesis testing(MHT) method using its associated feature vector.The algorithm made a good trade-off between its statistic performance and computing complexity,and had acquired great performance in practical applications.