Point Distribution as True Quality of LiDAR Point Cloud

S. Kodors
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引用次数: 9

Abstract

A parameter “point density” is often used to evaluate the quality of aerial laser scanning data. It is a parameter simple for understanding and human imagination. However, the true quality of LiDAR point cloud is based on point distribution. There are researches, which mention importance of point distribution and users’ false perception, that higher point density is better quality of LiDAR point cloud. The goal of this study is to define the mathematical model how to measure quality of LiDAR point cloud. This article discusses the point distribution and LiDAR data quality defining the image resolution of point cloud. It can be interesting for experts in civil geospatial intelligence, LiDAR data processing and flight planning.
点分布作为激光雷达点云的真实质量
在评价航空激光扫描数据质量时,经常使用一个参数“点密度”。这是一个易于理解和人类想象的参数。然而,激光雷达点云的真正质量是基于点的分布。有研究指出点分布和用户错误感知的重要性,点密度越高,激光雷达点云质量越好。本研究的目的是定义激光雷达点云质量测量的数学模型。本文讨论了定义点云图像分辨率的点分布和激光雷达数据质量。对于民用地理空间情报、激光雷达数据处理和飞行计划方面的专家来说,这可能很有趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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