基于四叉树的多分辨率地形数据3维可视化  被引量:6

Quadtree-based Three-dimensional Visualization for the Geomorphologic Data in Multiple Resolutions

在线阅读下载全文

作  者:赵文吉[1] 胡卓玮[1] 陈永良[2] 莫映[1] 

机构地区:[1]首都师范大学资源环境与地理信息系统北京市重点实验室,北京100037 [2]吉林大学综合信息矿产预测研究所,长春130026

出  处:《中国图象图形学报》2007年第8期1457-1462,共6页Journal of Image and Graphics

基  金:国家高技术研究发展计划"863"项目(2002AA134074);国家自然科学基金项目(40471090);北京市自然科学基金项目(KZ200510028017)

摘  要:大场景的3维地形可视化模型是地理信息系统平台的重要组成部分。但至今大场景的3维地形数据可视化仍存在数据处理速度慢,显示滞后的问题,针对此问题提出了一种基于四叉树的多分辨率地形数据3维可视化算法,即首先以规则网格为基本处理单元,采用链式四叉树数据结构存储多分辨率地形数据;然后在此基础上,设计了动态LOD算法完成四叉树的高效遍历。在该算法中,采用了视景裁剪、三角扇形和内存池等优化显示技术,用以支持大场景3维地形数据的实时显示,并已在Windows平台上,用VC++6.0开发了大场景地形数据3维可视化演示软件。Three-dimensional visualization models for large-scale landscape geomorphology are the important parts of GIS platforms. In this paper, the problems related to the three-dimensional visualization of the geomorphologic data of a largescale landscape are investigated. Regular grids serve as basic processing units for the representation of a large landscape geomorphology and the correspondingly multiple resolution data are saved in a link-listed quadtree structure. On the basis of this data structure, a dynamic LOD algorithm for traversing a link-listed quadtree is designed. In order to support the threedimensional visualization of large-scale landscape geomorphology, the optimized visualization technologies, such as view frustum culling, triangle fans, and inner memory pool, are used in the algorithm. With the aid of VC + + 6.0, software for illustrating the three-dimensional visualization of large-scale landscape geomorphology has been developed based on Windows operating system.

关 键 词:大场景 地形数据 四叉树 LOD算法 可视化 

分 类 号:P208[天文地球—地图制图学与地理信息工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象