A massive 3D laser point cloud compression storage and fast loading display method

Abstract

The invention discloses a massive three-dimensional laser point cloud compression storage and fast loading display method, which belongs to the technical field of three-dimensional laser measurement. By collecting the overall structure of point cloud data, the data is classified and compressed according to different levels. Each level includes block sets. , block and package three-level index, realize high-level storage and fast loading and display, based on the storage format of the present invention, it can solve the problem of large amount of space occupied by massive point clouds, difficult to copy, editing and classification problems, and the storage and browsing of 3D laser point clouds based on this method , The point cloud storage space is small when editing, and the point cloud browsing and processing software occupies a small amount of memory. During the browsing process, the point cloud occupies no more than 100Mb of memory; the first loading display and real-time browsing speed are fast, and there will be no jams during the point cloud browsing process. It can dynamically refresh the point cloud in real time, and the refresh response time is less than 1s; it supports editing and classification, etc.

Description

technical field [0001] The invention relates to the technical field of three-dimensional laser measurement, in particular to a method for compressing and storing massive three-dimensional laser point clouds and quickly loading and displaying them. Background technique [0002] At present, 3D laser measurement technology is being widely used in the field of surveying and mapping. It can quickly collect and obtain 3D laser point clouds on the surface of objects. 3D laser scanning can be divided into ground station, vehicle, airborne and backpack according to different carriers; 3D laser scanning On the mobile carrier, the scanner can continuously scan and measure the spatial and geographical elements on both sides of the road, and obtain massive 3D laser point clouds. Currently, mainstream laser scanners such as RIEGL, Z+F, Faro and the domestic Hi-Target HS300 can collect data every second. Obtain 300,000-1,000,000 point clouds; the point cloud collected by a 3D laser scanner...

AI Technical Summary

Problems solved by technology

Point cloud browsing display usually includes rendering by elevation, rendering by intensity, rendering by true color, and rendering by classification. Different rendering methods correspond to different loading point cloud attribute information; while the development and application of 3D laser measurement technology, on the other hand, it is accompanied by Facing the problem of massive point cloud data storage and fast display, the supporting software of laser scanner manufacturers at home and abroad generally has the following problems: large memory usage, slow initial loading process, unsmooth display and browsing, and inability to continuously process and edit massive point clouds and data. The storage takes up a lot of space; the existence of the above problems, to a certain extent, restricts the application of 3D laser point cloud preprocessing and subsequent processing and production

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