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基于小波分层原理的机载激光雷达数据滤波
引用本文:王刃,徐青,朱新慧.基于小波分层原理的机载激光雷达数据滤波[J].海洋测绘,2007,27(6):52-54.
作者姓名:王刃  徐青  朱新慧
作者单位:解放军信息工程大学,测绘学院,河南,郑州,450052
摘    要:分析了小波变换的基本原理并把小波变换引入到了机载激光雷达数据滤波中,实现了DSM数据的快速、高精度的滤波。在文章的最后,利用英国Birmingham地区的实验数据对基于小波分层原理的数据滤波方法进行了验证,结果表明基于小波分层原理的数据滤波方法的正确率优于94%,精度优于±0.71m。

关 键 词:机载激光雷达  数字表面模型  数字高程模型  小波变换  数据滤波
文章编号:1671-3044(2007)06-0052-03
收稿时间:2007-05-16
修稿时间:2007-07-16

Filtering Airborne Data With the Arithmetic Based on Wavelet Transformation
WANG Ren,XU Qing,ZHU Xin-hui.Filtering Airborne Data With the Arithmetic Based on Wavelet Transformation[J].Hydrographic Surveying and Charting,2007,27(6):52-54.
Authors:WANG Ren  XU Qing  ZHU Xin-hui
Institution:Surveying and Mapping Institute of Information Engineering University,Zhengzhou,Henan, 450052
Abstract:In this paper,the foundational principal of wavelet transformation is analyzed and introduced to filter the data of airborne Lidar.And the filtering arithmetic based on wavelet transformation is of quick,high-precision.In the end of this paper,the experiment has been done in which source data is in the city of Birmingham in England.The result shows that the preciseness probability for the filtering arithmetic based on wavelet transformation is better than 94% and RMS is better than±0.71m.
Keywords:airborne lidar  DSM  DEM  wavelet transformation  data filtering
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