加权整体最小二乘坐标匹配算法在机场道面测量中的应用  

Application of Weighted Total Least Squares Coordinate Matching Algorithm in Airport Pavement Surveying

作　　者：戴中东 孟良 高永攀 项伟 DAI Zhongdong;MENG Liang;GAO Yongpan;XIANG Wei(Air Force Academy Engineering Design Institute,Beijing 100068,China;Beijing Institute of Special Engineering Design,Beijing 100028,China)

机构地区：[1]空军研究院工程设计研究所,北京100068 [2]北京特种工程设计研究院,北京100028

出　　处：《测绘地理信息》2022年第2期61-66,共6页Journal of Geomatics

基　　金：国家自然科学基金(41504018)。

摘　　要：针对机场道面高程测量范围大、精度要求高,三维激光扫描仪常规流程方法难以达到道面测量要求的问题。本文首先分析并使用加权整体最小二乘坐标匹配算法,不仅解决平面和高程精度要求不一致的问题,而且有效减少扫描仪不能整平带来的误差。其次,设计了仪器架设、靶标点布设和放置的整体外业测量方案。最后,通过实例数据分析和比较,得出结论:采用本文方法,可以有效提高成果精度和外业采集效率,满足高精度道面高程测量的要求。The large range and the high precision demand of airport pavement elevation measurement makes it difficult for the conventional flow method of 3D Laser Scanner to meet the requirements of pavement measurement.Firstly,the weighted global least squares coordinate matching algorithm is analyzed and used,which not only solves the problem of different plane and elevation precision requirements,but also effectively reduces the errors caused by the scanner not leveling.Secondly,an overall field measurement scheme is designed for instrument erection,target arrangement and placement.Finally,through the analysis and comparison of case data,it concludes that this method can not only effectively improve the precision of results and the efficiency of field measurement,but also meet the requirements of high-precision pavement elevation measurement.

关 键 词：地面三维激光扫描仪 板角高程测量 三维坐标转换 加权整体最小二乘 非线性最小化算法 

分 类 号：P258[天文地球—测绘科学与技术]