Mass three-dimensional laser point cloud compression storage and rapid loading and displaying method

Abstract

The invention discloses a mass three-dimensional laser point cloud compression storage and rapid loading and displaying method, and belongs to the technical field of three-dimensional laser measurement. Data are classified and compressed according to different levels by acquiring a point-cloud data overall structure, each level comprises a block set index, a block index and a packet index, high storage and rapid loading and displaying are realized, the method can solve the problem that mass point clouds are large in occupied space and not easy to copy based on a storage format, editing is classified, three-dimensional laser point clouds implemented by the method have the advantages that point cloud storage space is small in cloud storage, browsing and editing, point cloud browsing software occupies less memory, the memory occupied by the point clouds in the browsing process does not exceed 100Mb, first-time loading and displaying and real-time browsing is rapid, clamping is avoided in the point cloud browsing process, the point clouds are dynamically refreshed in real time, refreshing response time is shorter than 1s, editing classification is supported and the like.

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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