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Method and system for rapid synthesis of vegetation distribution based on Poisson disk sample blocks

A technology of vegetation distribution and synthesis method, which is applied in the field of scene simulation to achieve the effect of maintaining matching, solving the rapid synthesis of large-area vegetation distribution, and overcoming the problem of disc out-of-bounds

Active Publication Date: 2017-03-22
BEIJING FORESTRY UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The technical problem to be solved in this application is to provide a method and system for rapid synthesis of vegetation distribution based on Poisson disk sample blocks to solve the problem of rapid synthesis of large-area vegetation distribution

Method used

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  • Method and system for rapid synthesis of vegetation distribution based on Poisson disk sample blocks
  • Method and system for rapid synthesis of vegetation distribution based on Poisson disk sample blocks
  • Method and system for rapid synthesis of vegetation distribution based on Poisson disk sample blocks

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Embodiment 1

[0043] Such as figure 1 As shown, it is a rapid synthesis method of vegetation distribution based on Poisson disk sample blocks described in Embodiment 1 of the present application, including:

[0044] Step 101, according to the maximum distribution density of plants, generate an overall sample set consisting of multiple groups of sample blocks and containing multiple plants.

[0045] The maximum distribution density of the plants refers to a certain area, and can usually be the maximum distribution density in a unit area in the visual interface (eg, a square grid area in the grid diagram in the interface). In the real forest ecological environment, there are many kinds of plants mixed and distributed, and the distribution density of plants is also variable. The diversification of plant species (plants) and the sparse change of tree distribution are essential factors when synthesizing vegetation distribution. In this step 101, the generated overall sample set includes a varie...

Embodiment 2

[0058] Such as Figure 2a As shown, it is the rapid synthesis method of vegetation distribution based on the Poisson disk sample block described in Embodiment 2 of the present application, including:

[0059] Step 201, preset the maximum capacity of total plants in each sample block area as N, and according to the maximum capacity N, generate an overall sample set consisting of multiple groups of sample blocks and containing various plants.

[0060] Consistent with the first embodiment above, the Poisson Disk Tiles method is used to generate a group of C 4 The Poisson disk sample set of is used as the mother set A (C is the ID number of the vertices, C=2, 3, 4...).

[0061] Step 202, counting the distribution quantity ratios of the plants of different categories on each of the sample blocks in the overall sample set, and establishing an index table for the distribution points of the plants of different categories in each of the sample blocks, and according to different catego...

Embodiment 3

[0068] The specific application of the rapid synthesis method of vegetation distribution based on Poisson disk sample blocks described in this application will be described below in conjunction with 3a-3f:

[0069] Step 1. Preset the maximum capacity of the total plants in each sample block area to 40, and according to the maximum capacity of 40, generate a sample parent set A consisting of multiple sets of sample blocks and containing 2 plants.

[0070]Step 2, counting the distribution quantity ratio of the two types of plants in the sample mother set A, and establishing an index table for the distribution points of the two types of plants in each sample block, according to the distribution of the two types of plants The distribution quantity ratio splits the index table into multiple segments, and generates a sub-sample set B corresponding to the plants of the two categories 1 and B 2 .

[0071] Step 3, according to the set density coefficient, the sub-sample set B corresp...

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Abstract

The invention discloses a vegetation distribution rapid combination method and system based on Poisson disk swatches. The vegetation distribution rapid combination method based on the Poisson disk swatches comprises the steps that a total swatch set which is composed of multiple sets of swatches and comprises a plurality of plants is generated according to the maximum distribution density of the plants; the distribution number ratios of different plants in the total swatch set are counted, the different plants are separated from the total swatch set according to the distribution number ratios, and sub-swatch sets corresponding to the different plants are generated; density classification is carried out on the sub-swatch sets corresponding to the different plants according to preset classification values, and density swatches with different density values are generated; according to a plant type, a density grade and / or coordinate information of a target position input in a visual interface, multi-layer splicing synthesizing processing is carried out on the density swatches of the different plants, and a vegetation distribution graph comprising various types and densities is generated. The vegetation distribution rapid combination method based on the Poisson disk swatches achieves rapid synthesizing of large-area vegetation distribution.

Description

technical field [0001] The present application relates to the field of scene simulation, in particular to a method and system for rapid synthesis of multi-density multi-plant vegetation distribution based on Poisson disk tiles. Background technique [0002] With the continuous development of forestry data acquisition technology, the demand for efficient forestry data processing methods in forestry production and management is becoming more and more urgent. In order to facilitate the intuitive analysis of forestry information or related ecological data, the virtual scene simulation of the forest is carried out, that is, the real forest is reproduced in three dimensions, and the sample is formed by generating the position distribution information of the plants in the forest area, and further constructs a large-scale forest scene. However, in large-scale forest scenes, there are often millions of trees. Even without considering the geometric complexity and the amount of render...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06T3/4038
Inventor 杨刚林琳杨猛
Owner BEIJING FORESTRY UNIVERSITY