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Large-scale forest scene quick generation method based on space similarity

A similar and large-scale technology, applied in the field of forest scene generation, can solve the problems of poor speed and poor accuracy, and achieve high accuracy, strong sense of reality, and rich details

Active Publication Date: 2013-01-02
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of poor rapidity and poor accuracy of existing forest scene generation methods, the present invention provides a fast and accurate large-scale forest scene rapid generation method based on spatial similarity

Method used

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  • Large-scale forest scene quick generation method based on space similarity
  • Large-scale forest scene quick generation method based on space similarity
  • Large-scale forest scene quick generation method based on space similarity

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] refer to figure 1 and figure 2 , a method for quickly generating large-scale forest scenes based on spatial similarity, including the following steps:

[0019] 1) Set the initialization parameters for the large-scale forest simulation scene, and obtain the visualization data of the entire scene and the scene distribution information of the forest space from the external memory database according to the set initialization parameters. The initialization parameters include: number of trees, type of trees, initial age, distance between trees, growth year and environmental factors. The environmental factors include: sunlight, temperature, moisture and soil; the scene visualization data include: terrain data, terrain texture, ground object data and sky scene data except trees; the scene distribution information of the forest space Including: the position of the tr...

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Abstract

The invention discloses a large-scale forest scene quick generation method based on space similarity. The method comprises the steps of 1) setting initialization parameters of a large-scale forest simulation scene, and acquiring scene distribution information of visible data and forest space of the whole scene; 2) partitioning the space data of the large-scale forest scene based on a quadtree, and dividing the scene into blocks with the same size; 3) calculating the space similarity of the forest scene; 4) judging the similarity between the scene blocks to quickly obtain biological amounts of plants; and 5) if the similarity between the scene blocks does not reach a certain proportion, calculating a growth model of the scene blocks, determining basic plants according to initial parameter data transmitted by a user, calculating an influence range and the biological amounts of the basic plants, then introducing a three-dimensional tree model into simulation for realizing the forest scene, and displaying a visible result to the user. The method is high in speed and high in precision.

Description

technical field [0001] The invention relates to a forest scene generation technology, in particular to a forest scene generation method. Background technique [0002] Due to the complexity of the pattern, process and interrelationship of the forest scene, it is difficult to conduct direct experiments on it. It is an effective way to establish a forest growth model by computer. The forest growth model needs to consider the dynamic growth characteristics of plants and environmental influences to predict the growth trends and changes of plants at different ages, and to simulate forest growth. Large-scale forest scene dynamic simulation not only needs to store the information of each tree, but also calculates the interaction between trees and the comprehensive influence of competition and mutual benefit among all trees. The calculation process is complex and the amount of calculation is huge. The application and research of forest growth simulation are greatly restricted. [0...

Claims

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Application Information

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IPC IPC(8): G06T17/00
Inventor 董天阳夏佳佳范菁
Owner ZHEJIANG UNIV OF TECH
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