摘要
为解决近程防空导弹近距离攻击目标时因自身姿态偏差而影响毁伤效率的问题,提出一种基于图像匹配技术的弹目攻击姿态分析方法。该方法利用弹载激光成像系统近距离实时拍摄的数张目标图像,经过图像预处理、特征点提取和尺度不变特征变换算法(Scale Invariant Feature Transform,SIFT)进行图像匹配(简称SIFT),并基于弹目之间特征点的几何关系解算出瞬态目标图像的姿态参数,将其作为定向引爆确定引爆方向的依据,实现对目标更有效的攻击。仿真分析表明该方法能有效地实现弹目近距离交会下的图像姿态参数的实时解算,保证有效攻击姿态的建立。
In order to solve the problem of short-range air defense missile which impacted damage efficiency by its attitude deviation when it closely attacked the target,an els attack posture analysis based on the technology of image matching method was put forward. The method used number of target images which were taken by missile onboard laser imaging system to make image preprocessing,feature extraction and SIFT（ Scale Invariant Feature Transform） matching,and then used the geometric relationship of els between feature points to calculate profile parameters of transient target image. By using the profile parameters,directional detonation determines the detonation direction and the missile could achieve the target of attacks more effectively. Simulation results show that the proposed method could effectively realize real-time decoding of image profile parameters when missile closely attacks the target and it could ensure establishing an effective attack.
出处
《沈阳理工大学学报》
CAS
2014年第3期21-25,共5页
Journal of Shenyang Ligong University
关键词
特征提取
图像匹配
目标姿态
定向引爆
feature extraction
image matching
target position
directional detonation
