Study and application on thinning algorithm of airborne LiDAR data in plain area

doi:10.13474/j.cnki.11-2246.2019.0021

Abstract

Abstract: At present, there are still many bottlenecks in the application of airborne LiDAR point cloud data in the surveying and mapping industry. In order to make airborne LiDAR point cloud data better serve the production of equivalent data, and give play to its advantages of high efficiency and high precision. In this paper, we summarize the existing algorithm of cloud data thinning in LiDAR at home and abroad, and analyze the advantages and disadvantages of the existing algorithm, such as system thinning, grid thinning, TIN thinning and slope thinning. Based on the application of laser point cloud in actual production in plain area, the method of thinning data more suitable for plain area is studied. Through a lot of data testing and trial production, the results show that this method can guarantee data quality under the constraints of application project accuracy. It reduces the difficulty of late data processing, improves the quality of the follow-up data, and improves the efficiency of the operation. It has a very important practical significance for the application and promotion of airborne Lidar cloud data in the surveying and mapping industry.

Key words: airborne laser radar, plain country, thinning algorithm, constrained TIN thinning method, contour line

CLC Number:

P237

YANG Mingjun, SU Chunmei, KANG Bingfeng, ZHANG Xun, CAO Diancai. Study and application on thinning algorithm of airborne LiDAR data in plain area[J]. 测绘通报, 2019, 0(1): 101-107.

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