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Establish of visualization method for large-scale forest landscapes based on the national vegetation survey of Japan.

基于日本全国植被调查的大尺度森林景观可视化方法的建立

基本信息

批准号：
21700095
负责人：
AKAGI Yasuhiro
金额：
$ 2.25万
依托单位：
Tokyo University of Agriculture and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Young Scientists (B)
财政年份：
2009
资助国家：
日本
起止时间：
2009 至 2010
项目状态：
已结题

项目摘要

We concentrate on the high-speed visualization for large-scale forest landscapes, since it has never been dealt with. First, we proposed parameterization and analysis techniques for trees which enable to represent specific shapes dependent on species. This technique aims to represent about 200 species of trees which are covered in vegetation research of ministry of the environment. Second, to visualize large-scale forest, we proposed a method which has the following three characteristic features : (1) It procedurally generates a forest from data sets of the national vegetation survey of Japan. (2) It generates a vegetation boundary which represents a natural arrangement of trees in the forest by using a fractal noise function. (3) To realize high-speed visualization, we propose a generating method of trees which is suitable for parallel processing on GPUs. The series of techniques can realize the high-speed visualization for large-scale forest landscapes generated from the national vegetation survey.

由于大规模森林景观的高速可视化一直是国内外研究的热点，本文主要研究大规模森林景观的高速可视化。首先，我们提出了树木的参数化和分析技术，使代表特定的形状依赖于物种。该技术旨在代表环境部植被研究所涵盖的约200种树木。第二，为了实现大规模森林的可视化，我们提出了一种方法，该方法具有以下三个特征：（1）从日本国家植被调查的数据集程序化地生成森林。(2)它产生一个植被边界，它代表了一个自然的安排，树木在森林中使用分形噪声函数。(3)为了实现高速可视化，我们提出了一种适合GPU并行处理的树生成方法。该系列技术可实现全国植被调查生成的大比例尺森林景观的高速可视化。