摘要
随着对地观测技术的进步,海量地学时空场数据的积累对时空场数据的建模、检索与分析提出新的要求。基于张量结构构建多维时空场数据组织方法,建立了基于时空立方体模型的数据存储结构,并定义了相应的数据操作功能与数据接口,进而设计了时空场数据的分层索引机制及基于张量运算算子的地学时空场数据分析方法。基于卫星测高数据的系统验证结果表明:本模型可有效支撑多维时空场数据的表达、检索与分析,是对高维时空场数据分析与建模的有益探索。
The improvements of earth observation technology and the growing accumulated multi-dimension- al spatial-temporal field data. It is already a research hotspot of the integration and expression of these da- ta. The modeling and simulation of global geo-processes also require new demands on the modeling, retriev- al and analysis methods of these data. In this paper, the building framework of spatial-temporal field data model is constructed based on the tensor structure. Data from different dimensions are intergrated as differ- ent perspectives of the tensor structure. For implementations,a spatial-temporal cube model is constructed for data organization and storage,and the corresponding data manipulation and data interface are defined. After that,we designed a layered spatial-temporal field data indexing mechanism and the spatial-temporal field data analysis methods, such as princple tensor decomposing, based on operators of tensor operation. The framework is validated based on satellite altimetry data, which suggest that our model can effectively support the presentation,retrieval and analysis of the multi-dimensional space-time field data and be a use- ful exploration on high-dimensional spatial-temporal field modeling and data analysis.
出处
《遥感技术与应用》
CSCD
北大核心
2012年第5期699-705,共7页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41171300)
国家863计划项目(2009AA12Z205)资助
关键词
地学时空场数据
张量
时空立方体
时空索引
Topographical spatial-temporal filed
Tensor
Spatial-temporal Hyper cube
Spatial-temporal in-dex
