摘要
利用基于PSD的远距离定位光靶标识别系统在实际环境下获得的大量实际测量数据,对PSD系统精度测定方法进行了完善。实测的数据首先进行预处理,剔除坏值,随后给出相关图像并基于统计学方法进行了综合处理与分析检验。精度测定算法均用python进行了编程实现,结果表明,这种方法可以实现PSD测量精度的有效标定,同时也为PSD实测结果的数据处理提供了有价值的算法参考。
The precision measurement method of PSD system is studied by using a large number of actual measurement datas obtained by the remote location light targets identification system.After preprocessing the measured data and eliminating outliers,the related images are presented and analyzed based on the statistical method.The accuracy measurement algorithms are all programmed with Python.The results show that this method can realize the effective calibration of PSD measurement accuracy,and provide a valuable algorithm for the data processing of PSD measurement results.
作者
高晨峻
王凯丽
尉懿
惠富豪
董言治
GAO Chen-jun;WANG Kai-li;WEI Yi;HUI Fu-hao;DONG Yan-zhi(School of Opto-electronic Information Science and Technology,Yantai University,Yantai 264005,China)
出处
《烟台大学学报（自然科学与工程版）》
CAS
2021年第3期342-347,共6页
Journal of Yantai University(Natural Science and Engineering Edition)
基金
国家自然科学基金资助项目(51405416)
山东省自然科学基金资助项目(ZR2014EEQ024)
烟台市科技发展计划(2013ZH085)。
关键词
PSD
光靶标识别
数据处理
精度测定
position sensitive device
optical target recognition
data processing
precision measurement
