摘要
针对空间目标跟踪系统中三维姿态信息获取及三维重建的难题,利用计算机视觉的前沿成果及数字摄影测量的精密理论,根据光测图像实时、直观及精确反映空间目标状态的特点,采用自适应算法对拍摄序列图像进行信息检测,以精确获取可以反映空间目标的边缘信息,并根据异面直线特性及立体透视成像原理,对双站光电跟踪的序列二维图像进行处理,采用交汇测量的原理,关联同一时刻不同站获取的目标图像,从而得出实时的空间目标姿态,为高精度的目标运动姿态预测及跟踪系统仿真模型提供精确的三维姿态信息,实现其在光电对抗领域的重大突破。
For the problem of the information acquisition and restore of three-dimensional space target tracking system, to acquire the edge information which can reflect space target precisely by the sophisticate theory of advanced achievement and digital measurement based on computer vision, the characteristics of the optical image which can re- fleet space target condition in real time, visually and accurately, and the information detection on image sequences captured by adaptive smoothing. According to the characteristics of the straight lines in different planes and theory of three-dimensional perspective imaging, to processing the two dimensional sequence image of double station photoelec- tric tracking. Connecting the target images acquired in different station by the theory of intersection measurement. Get- ting the real time space target attitude, to provide accurate three dimensional attitude information for the prediction of target attitude in high precision and the tracking system simulation model. To achieve the breakthrough in optoelectron- ic countermeasure field.
作者
赵澄东
高昂
ZHAO Cheng-dong GAO Ang(Zhengzhou Chenggong University, Gongyi Henan 451200, China)
出处
《激光杂志》
北大核心
2017年第4期146-149,共4页
Laser Journal
基金
河南省高等学校重点科研项目(教科技[2015]1120号)
现代化跟踪系统目标成像轨迹模拟研究(16A520093)
河南省科技攻关项目(172102210475)
关键词
自适应平滑
特征线面提取
边缘检测
adaptive smoothing
characteristic line extraction
edge detection
