基于红外成像制导的末端瞄准点选择技术  

Aim point selecting algorithm for endgame based on infrared imaging guidance

作　　者：李萍[1,2] 方喜波[1,2] 黄志理[1,3] 

机构地区：[1]中国空空导弹研究院,河南洛阳471009 [2]凯迈(洛阳)测控有限公司,河南洛阳471009 [3]航空制导武器航空科技重点实验室,河南洛阳471009

出　　处：《红外与激光工程》2013年第5期1131-1136,共6页Infrared and Laser Engineering

基　　金：航空科学基金(20100112007)

摘　　要：针对美国网络中心机载防御单元(NCADE)的技术特点,提出了一种基于稀疏像素矢量化的红外成像制导末端瞄准点自适应选择算法。从分析助推段/上升段弹道导弹的结构和红外特征入手,将基于灰度直方图的全局迭代阈值法做以推广,提出了基于变换区域的全局迭代双阈值分割,有效地分离了尾焰和蒙皮部分;稀疏像素法的应用可完成对尾焰的快速矢量化,并能根据尾焰和蒙皮成像面积的差异,自动地采取基于蒙皮或基于稀疏像素法的两种途径进行瞄准点选择;单帧初步选择的瞄准点经过方向、距离的多帧判别一致后,最终确定瞄准点。仿真实验证明,文中算法无需人工参与,且中轴线的确定无需遍历所有的目标像素,实现了全过程快速、自适应的瞄准点选择。According to the technical traits of Network Centric Airborne Defense Element, an aim point selecting algorithm based on sparse pixel vectorization was presented. On the basis of summarizing the structural and infrared characters of ballistic missile during the boost and ascending phase, the target＇s plume was segmented by extending the global histogram threshold method to a dual threshold method with the histograms for different areas, then the sparse pixel vectorization was used to find the center axis of the target＇s infrared image, and the aim point was found in two ways according to the proportion between the skin and the plume, finally the aim point was confirmed with the consistency of direction and distance in the subsequent frames. Experiments show that the algorithm presented here is able to realize the aim point selecting for infrared imaging endgame guidance fast and adaptively without manual work or traversing all the pixels.

关 键 词：弹道导弹 网络中心机载防御单元 稀疏像素矢量化 瞄准点选择 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]