Extraction of the Building's Top Patch Based on the Rules of LMedS Algorithm

doi:10.13474/j.cnki.11-2246.2018.0124

Abstract

Abstract:

In view of the common plane fitting method can appear the problem of the unfitting under the condition of the existence of "noise points",the RANSAC algorithm can extract the top patch of building from airborne LiDAR data with better robustness.When the RANSAC algorithm is fitted with parameters,there will be some defects,which can achieve better fitting effect by improving the RANSAC algorithm (LMedS algorithm).The point cloud data is filtered using the pass-through filter,and then the point cloud data is sampled by the VoxelGrid filter.For the sampled point cloud data,the top surface of the building is extracted using LMedS algorithm.The experiment results show that the LMedS algorithm can successfully extract the top patch of building.At the same time,it has a good robustness.

Key words: airborne LiDAR, point cloud, building, patch, robustness

CLC Number:

P237

CHEN Xiangyang, XIANG Yunfei. Extraction of the Building's Top Patch Based on the Rules of LMedS Algorithm[J]. 测绘通报, 2018, 0(4): 121-124.

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Extraction of the Building's Top Patch Based on the Rules of LMedS Algorithm

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