A simple point cloud file format and open-source implementation for geospatial analysis and software development

Jeffrey S. Perry, Donald S. Maze-England,Lori A. Magruder

LASER RADAR TECHNOLOGY AND APPLICATIONS XXVIII(2023)

引用 0|浏览1
暂无评分
摘要
We present a Simple POint Cloud (SPOC) file format, suitable for efficiently storing and processing geospatial point cloud data. This format provides support for 64-bit floating-point precision coordinates, compressed storage, and data streaming. The code base is implemented as a header-only, modern C++ library with Python extensions under an open source license. The format can be applied in a wide variety of use case scenarios, and was motivated by a need for high-precision, transparent data storage and transmission for geospatial processing and machine learning applications. Existing file formats sometimes either do not support the precision and dynamic range necessary for certain applications, they do not support common interprocess communication protocols, or they are overly complex or rigid.
更多
查看译文
关键词
3D point cloud,geospatial processing,software development,machine learning,data compression,file formats
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要