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Efficient processing method of huge volume airborne LiDAR data using binary tree and virtual pyramid
Efficient processing method of huge volume airborne LiDAR data using binary tree and virtual pyramid
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机译：利用二叉树和虚拟金字塔高效处理大量机载LiDAR数据的方法
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摘要
The present invention is a large airborne laser measurement data processing method using a binary space partitioning tree-based techniques and virtual pyramid relates to, and more particularly, the unnecessary consumption can be reduced, when the data to build a rider pyramid data of the virtual file-level data of the spatial couple of system resources based on the division by the number of data points in a data la data relates to a high-capacity air laser measurement data processing method using a binary tree-based data structure and storage capacity of the space in order to reduce the conversion time division technique and a virtual pyramid. To this end, the present invention includes the steps of obtaining the air is called the dot clusters form data; 3d after sorting the data points of the data is present on the D space relative to the X-axis or Y-axis direction, the number of the data relative to the step of performing space division; Generating a pyramid data by setting the ID number of the virtual level between a number of level data which skips the point data of the rider data; Provides a high-capacity air laser measurement data processing method using the space division scheme and the binary tree-based virtual pyramid comprising a. ;
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