基于混合最小二乘与总体最小二乘的激光雷达滤波算法

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英文篇名：LiDAR Filtering Algorithm Based on Mixed Least Squares and Total Least Squares 作者：刘志青 ; 黄沈华 ; 马琪 ; 叶晨亮 ; 彭浩 英文作者：LIU Zhiqing;HUANG Shenhua;MA Qi;YE Chenliang;PENG Hao;Zhengzhou Campus,Army Academy of Artillery and Air Defense; 关键词：LiDAR ; 滤波 ; 总体最小二乘 ; 曲面拟合 英文关键词：LiDAR;;filtering;;total least squares;;surface fitting 中文刊名：DBCH 英文刊名：Geomatics & Spatial Information Technology 机构：陆军炮兵防空兵学院郑州校区; 出版日期：2019-02-25 出版单位：测绘与空间地理信息 年：2019 期：v.42;No.238 基金：国家自然科学基金(41371436;41601507)资助 语种：中文; 页：DBCH201902009 页数：4 CN：02 ISSN：23-1520/P 分类号：40-43

摘要

机载激光雷达点云数据滤波技术是LiDAR数据后处理最关键的内容之一。利用最小二乘平差的曲面拟合滤波算法存在一定不足,基于混合最小二乘和总体最小二乘的算法可以有效弥补不足。本文提出一种基于混合最小二乘和总体最小二乘的曲面拟合滤波算法。实验表明,本文滤波算法效果良好,满足实际应用需求。
        The airborne LiDAR point cloud data filtering technology is one of the most critical contents of LiDAR data processing. There are some shortcomings in surface fitting filtering algorithm based on least square adjustment. The algorithm based on mixed least squares and total least squares can effectively compensate for deficiencies. In this paper,a surface fitting filtering algorithm based on mixed least squares and total least squares is proposed. Experiments show that the filtering algorithm is effective and meets the practical application needs.

引文

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