Airborne LIDAR data segmentation based on 3D mathematical morphology

doi:10.11834/jrs.20110257

Views : 0 下载量: 1019 CSCD: 2

PDF
Export
Share
Collection
Album

Airborne LIDAR data segmentation based on 3D mathematical morphology
Vol. 15, Issue 6, Pages: 1189-1201(2011)
Published：2011
DOI： 10.11834/jrs.20110257
稿件说明：

移动端阅览

[1]吴杭彬,李楠,刘春,施蓓琦,杨璇.机载激光扫描数据分割的三维数学形态学模型[J].遥感学报,2011,15(06):1189-1201. DOI： 10.11834/jrs.20110257.

Airborne LIDAR data segmentation based on 3D mathematical morphology[J]. Journal of Remote Sensing, 2011, 15(6): 1189-1201. DOI： 10.11834/jrs.20110257.

摘要

机载激光扫描点云的三维数字图像表达模型将二维形态学运算推广至三维

给出基于三维数字图像的膨胀和腐蚀运算方法。针对点云三维数字图像

提出基于三维数学形态学和聚类分析的分割方法。将点云三维数字图像进行膨胀和聚类分析

依据聚类结果得到点云的分割结果。讨论了本方法两个参数与点云分辨率、地物间隔之间的关系。选用两套实例数据进行实验

并将第一套数据计算结果与MeanShift算法、渐进三角网加密算法进行比较

从分割评价因子、精度、计算效率等方面分析本文方法与其他两种方法的优劣

最后分析了本文方法的稳定性。

Abstract

A 3D digital image model is proposed to represent the LIDAR data.The mathematical morphology is extended to 3D and then

dilation and erosion operators are re-defined.A method combining 3D mathematical morphology with clustering analysis is developed.Sequential dilation operations and clustering analysis are introduced into the 3D point cloud to achieve the pixel-level results of point cloud.The relationships between the two parameters and data property

resolution of point cloud and the minimum distance between objects

is discussed.Two case data are used to demonstrate the feasibility of the proposed method.The result for the first dataset is compared with those from the two other methods

Mean Shift algorithm and adaptive TIN filter method.The advantages and disadvantages are summarized using segmentation evaluation factors

segmentation accuracy

and computation efficiency.Meanwhile the stabilization of proposed method is also analyzed.