首页 | 本学科首页   官方微博 | 高级检索  
     检索      

机载LiDAR点云航带平差方法研究
引用本文:王丽英,宋伟东.机载LiDAR点云航带平差方法研究[J].武汉大学学报(信息科学版),2012,37(7):814-817.
作者姓名:王丽英  宋伟东
作者单位:辽宁工程技术大学测绘与地理科学学院,晕新市中华路47号,123000
基金项目:国家自然科学基金资助项目
摘    要:以航带平差作为系统误差消除的关键技术,提出了基于无控制三维表面匹配的方法,并用最小高程差(LZD)和最小法向距离(LND)两种算法加以实现。实验表明,LND和LZD算法的平差结果均可满足工程精度的需求;LZD较LND算法的整体计算效率偏低,但其精度较高;与商业软件TMatch的结果相比,LZD的精度和其相当,且两种方式在TMatch软件平差失败时也能成功地完成航带平差任务。

关 键 词:机载激光雷达  航带平差  最小高程差  最小法向距离

Airborne LiDAR Point Cloud Strip Adjustment Method
WANG Liying,SONG Weidong.Airborne LiDAR Point Cloud Strip Adjustment Method[J].Geomatics and Information Science of Wuhan University,2012,37(7):814-817.
Authors:WANG Liying  SONG Weidong
Institution:1(1 School of Geomatics,Liaoning Technical University,47 Zhonghua Road,Fuxin 123000,China)
Abstract:Considering strip adjustment as key technology to eliminate systematic errors,we propose a method of 3D surface matching without control points.Using the least Z-difference(LZD) and least normal distance(LND)matching algorithm to realize.The experimental results show that the accuracy of LND and LZD algorithm can both meet the requirements of project accuracy;LZD’s total efficiency is lower than LND’s,but its accuracy is higher.Compared to commercial software TMatch,LZD and TMatch accuracy are at the seme level,and our algorithm can successfully complete the task of strip adjustment when TMatch software failure.
Keywords:airborne LiDAR strip adjustment least Z-difference  least normal distance
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号