期刊文献+

机载LiDAR点云航带平差方法研究 被引量:6

Airborne LiDAR Point Cloud Strip Adjustment Method
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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。 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.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2012年第7期814-817,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(41101452)
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 strip adjustment least Z-difference least normal distance
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参考文献10

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共引文献71

同被引文献44

  • 1朱延娟,周来水,张丽艳.散乱点云数据配准算法[J].计算机辅助设计与图形学学报,2006,18(4):475-481. 被引量:97
  • 2张同刚,岑敏仪,冯义从.用于无控制DEM匹配的LZD和ICP算法的比较[J].中国图象图形学报,2006,11(5):714-719. 被引量:11
  • 3袁修孝,杨芬,赵青,明洋.机载POS系统视准轴误差检校[J].武汉大学学报(信息科学版),2006,31(12):1039-1043. 被引量:47
  • 4王成,Menenti M,StollM P,李传荣,唐伶俐.机载激光雷达数据的误差分析及校正[J].遥感学报,2007,11(3):390-397. 被引量:37
  • 5戴静兰,陈志杨,叶修梓.ICP算法在点云配准中的应用[J].中国图象图形学报,2007,12(3):517-521. 被引量:195
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  • 9Habib Ayman, Ki In Bang, Paula Kersting Ana, et al.. Alternative methodologies for LiDAR system calibration[J].Remote Sensing, 2010, 2(3): 874-907.
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