基于Laspy的点云数据检查方法

Point Cloud Data Inspection Method Based on Laspy

基于laspy开源、灵活、简单、效率高的特性,可按照实际需要利用Python语言编写读取点云位置、强度、分层信息、颜色等已有属性值,运用空间分析、自动提取实现对点云数据的范围、分类等信息的批量快速检查工具。其本身作为Phython程序设计语言的延伸,适合于编程初学者,能较快地实现代码编写。通过测试数据验证,利用laspy可以实现对点云数据快速准确的检查,方便在实际项目中开展有针对性的检查工作,降低了人工工作量,能很好地控制数据质量。

Based on laspy’s open source,flexible,simple,and efficient features,you can use Python to read existing point values such as position,intensity,layered information,and color of the point cloud,and use spatial analysis and automatic extraction to implement point cloud.A batch quick check tool for data range,classification and other information.As an extension of the Phython programming language itself,it is suitable for beginners in programming and can quickly implement code writing.Through test data verification,laspy can be used to achieve fast and accurate inspection of point cloud data,which facilitates targeted inspections in actual projects,reduces manual workload,and can well control data quality.