摄像机LSSVM标定技术在靶场测量中的应用  

Application of Camera Calibration Using LSSVM in Range Measurement

作　　者：张军 李久成 张宇峰 郑玉新 曹殿广 

机构地区：[1]63856部队

出　　处：《光电工程》2011年第10期20-26,共7页Opto-Electronic Engineering

摘　　要：为改进传统靶场光学测量方法,提出了利用基于遗传算法(GA)和最小二乘支持向量机(LSSVM)的摄像机标定技术进行空间坐标测量的方法。首先介绍了摄像机LSSVM标定技术的思想,然后讨论了其在靶场测量中的应用。通过仿真实验分析,解决了在靶场实际应用中存在的训练样本的选取和样本容量的确定这两个关键问题。最后结合两次试验对摄像机LSSVM标定技术在靶场测量中的应用进行了验证,结果表明该方法精度较好,与传统的靶场光学测量方法相比具有原理简单、实施容易、测量精度高、数据处理方便等特点,有很高的推广应用价值。A measurement method of the spacial coordinates using camera calibration based on Genetic Algorithm （GA） and Least Square Support Vector Machine （LSSVM） was proposed for improving the traditional optical measurement method in range.First of all,the idea of camera calibration using LSSVM was presented,and its application in range measurement was discussed.The two crucial problems of choosing the training samples and confirming the samples capacity were solved by simulation analysis in range application.Finally,the measurement method of camera calibration using LSSVM was validated by two tests in range.The result shows that precision of the method is good and it has the characteristics of the simple principle,high precision,easy implementation and data processing compared with the traditional optical measurement method in range,which has important application values.

关 键 词：光学测量 摄像机标定 LSSVM 遗传算法 

分 类 号：P232[天文地球—摄影测量与遥感] TN247[天文地球—测绘科学与技术]