节点文献
海洋调查数据的可视化建模及实现方法
Modelling Methods for Visualization of Ocean Investigation Data
【摘要】 科学计算可视化作为新一代的分析工具 ,正在进入物理海洋学领域。文中介绍对海洋调查数据进行可视化的关键问题——数据建模 ,并从分析海洋调查数据的特点出发提出针对海洋研究中可视化建模的原则和有效途径 ,给出相关的实现方法。其中 ,重点讨论局部体样条建模中必须面对的区域分割优化问题 ,引入遗传算法并给出较好的解决方案。
【Abstract】 Scientific visualization is coming into physical oceanography as a new analysis tool. This paper addresses the key point for visualization of ocean investigation data: data modelling. It presents principles and effective approaches of the modelling of ocean investigation data, according to their characteristics. Emphasis is put on the optimization of domain partition, which must be faced in the local volume splines modelling, and genetic algorithm is introduced as a good solution.
【关键词】 科学计算可视化;
数据建模;
区域分割;
遗传算法(GA);
物理海洋学;
【Key words】 scientific visualization; data modelling; domain partition; genetic algorithm; physical oceanography;
【Key words】 scientific visualization; data modelling; domain partition; genetic algorithm; physical oceanography;
- 【文献出处】 青岛海洋大学学报(自然科学版) ,Journal of Ocean University of Qingdao , 编辑部邮箱 ,2001年04期
- 【分类号】TP391.4
- 【被引频次】14
- 【下载频次】203