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Method for fitting regular grid by discrete point grading and weighting

A discrete point and grid technology, applied in the direction of 2D image generation, texture/color, filling plane with attributes, etc., can solve the problem of indirect interpolation method not considered, the retrieval efficiency of massive discrete point cloud is not high, etc., to improve efficiency Effect

Active Publication Date: 2019-08-02
WUHAN UNIV
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Problems solved by technology

[0006] The present invention mainly solves the problems existing in the prior art that the retrieval efficiency of massive discrete point clouds is not high and that the indirect interpolation method does not consider the contribution of other adjacent point clouds

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  • Method for fitting regular grid by discrete point grading and weighting
  • Method for fitting regular grid by discrete point grading and weighting
  • Method for fitting regular grid by discrete point grading and weighting

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Embodiment Construction

[0027] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0028] The technical solution provided by the present invention is a method for fitting a regular grid DEM from massive disordered discrete point clouds by adopting a hierarchical weighting strategy. Such as figure 1 shown, including the following steps:

[0029] Step 1. Translate the target grid (grid size M) by half the grid in the X and Y directions (at this time, the center position of the grid is the grid point of the target grid), and refine the parameter P according to the grid ( figure 2 In the embodiment, P=3) performs grid expansion until a single grid (with a size of M*3 N ) fully encompasses all discrete point clouds. The largest layer of a single grid is defined as the first level, and then the target grid is the Nth level. Such as figure 2 Schematic diagram of the grid from level ...

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Abstract

The invention discloses a method for quickly constructing a regular grid DEM (Digital Elevation Model) for ultra-large discrete point cloud data by adopting a hierarchical weighted fitting strategy. First of all, pyramid grading strategies are employed, the target regular grid is refined from one grid to an nth level according to 3*3 refining parameters; and the discrete point cloud is placed in the grid step by step in a weighted average mode until the nth level is reached, the result of the level serves as the initial value of the next level, and all the points are placed in the grid in a weighted average mode again to form a new grid until the interval of the grid is equal to the expected interval. The method is simple in operation, free of extra memory consumption and very high in execution efficiency, point cloud data operation is streaming operation, topological information of point clouds does not need to be considered, point number limitation does not exist, and the method is particularly suitable for regular gridding of mass point clouds.

Description

technical field [0001] The invention relates to a method for fitting discrete points to a regular grid DEM using a hierarchical weighting strategy, wherein the hierarchical weighting strategy is the key technology of the fitting method. Background technique [0002] Digital elevation model (DEM) is an important spatial geographic information of geographic information system (GIS), and is the core data of geographic information system (GIS) for terrain analysis. It is widely used in surveying and mapping, landform, engineering construction, military and other fields. There are mainly two forms of regular grid data (GRID) structure and irregular triangular network (TIN) structure. Among them, regular grid (GRID) DEM is more widely used in the field of photogrammetry because of its simple data structure, easy algorithm implementation, and convenient space operation and storage. [0003] In the field of photogrammetry, regular grid DEM is generated by massive dense matching poi...

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Application Information

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IPC IPC(8): G06T11/00G06T11/40
CPCG06T11/001G06T11/40
Inventor 段延松陶鹏杰刘昆波
Owner WUHAN UNIV
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