红外图像中小目标检测研究  

Study of Point Target Detection in Infrared Images

作　　者：俞建成[1] 孙胜利[1] 陈桂林[1] 

机构地区：[1]中国科学院上海技术物理研究所,上海200083

出　　处：《红外》2006年第4期15-19,共5页Infrared

基　　金：中国科学院上海技术物理研究所预先研究项目。

摘　　要：在获得的红外序列图像中,检测和跟踪微弱小目标一直是研究的重点。本文对小目标检测系统的背景抑制和目标检测算法和方案进行了调研。采用背景抑制算法以获得更高的信噪比,利用NP准则对图像进行分割,然后用识别算法对目标进行跟踪和识别。计算结果显示,抑制杂波后,采用序贯图像检测能够很好地增加探测概率。aircrafts in small targe It is rather important to detect and recognize those small targets caused by missiles or the series infrared images acquired by satellites. This paper investigates the algorithms for t detection and proposes the reliable means for searching the point targets at high density clutter background. The method is that first use the background algorithms to acquire a more adaptive signal-to-noise ratio （SNR）, then apply the image segmentation means to find the object-existing district and finally detect the point targets by using the recognition algorithms.

关 键 词：背景抑制 点目标 目标检测 

分 类 号：TN219[电子电信—物理电子学]