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Modeling method based on mass laser radar grid point cloud data

A technology of lidar and point cloud data, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of inconvenient operation, low security, data sharing and unmanageable massive data, saving space , High rendering efficiency, the effect of ensuring security and concurrency

Inactive Publication Date: 2012-01-04
BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE
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AI Technical Summary

Problems solved by technology

This method has disadvantages such as low security, inconvenient operations such as data update, query, and retrieval, data sharing, and massive data cannot be managed.

Method used

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  • Modeling method based on mass laser radar grid point cloud data
  • Modeling method based on mass laser radar grid point cloud data
  • Modeling method based on mass laser radar grid point cloud data

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0024] Such as figure 1 As shown, the modeling method based on massive lidar grid point cloud data of the present invention comprises the following steps:

[0025] Step 101, read the three-dimensional space point cloud data, and use these three-dimensional space point cloud data to construct a quadtree spatial index from top to bottom; and fill the three-dimensional space point cloud in the non-leaf nodes of the spatial index tree from bottom to top The index identification information of the data.

[0026] In this step, according to the rasterity of the original 3D spatial point cloud data, a quadtree spatial index is constructed in a top-down manner according to the number of rows and columns of the scanned point cloud.

[0027] The data structure of the quadtree spatial ...

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Abstract

The invention discloses a modeling method based on mass laser radar grid point cloud data, which comprises the following steps of: reading three-dimensional spatial point cloud data, and constructing a quadtree spatial index from top to bottom by using the three-dimensional spatial point cloud data simultaneously; filling index identification information of the three-dimensional spatial point cloud data in a non-leaf node of a spatial index tree from bottom to top; storing the constructed spatial index tree as a binary index file in a depth-first traversal mode; performing compressed storage on the three-dimensional spatial point cloud data to form a binary data file; designing a database in an object-oriented mode, and storing a spatial data object in a database object table; and callingdata in the database in an external memory for temporary storage, directly mapping the three-dimensional spatial point cloud data with specified identification information to an internal memory from the external memory in an internal memory mapping mode, and drawing by using a graphic processor.

Description

technical field [0001] The invention relates to a modeling method, in particular to a modeling method based on massive laser radar grid point cloud data. Background technique [0002] The 3D laser scanner emits laser multiple times around the laser transmitter and receives the laser ranging through the reflection of the surface of the ground object. It performs high-resolution dome scanning in the form of an array. The point cloud data obtained by it is obtained without any preprocessing. Therefore, the raster point cloud data has a large amount of data (massiveness), is arranged according to the scanning line (grid), and there is only one surface three-dimensional coordinate point in the same ray direction (uniqueness). )Features. Some scanners are equipped with cameras, and can also obtain texture information of three-dimensional points, but generally do not have normal information of points. The ranging range of various ground lidars has certain limitations, and the dis...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王晏民郭明王国利
Owner BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE
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