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《Remote Sensing Technology and Application》 2012-05
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Tensor-based Topographical Spatial-temporal Field Data Organization and Analysis

Yu Zhaoyuan,Yuan Linwang,Luo Wen,Yi Lin,Wang Jianchao(Key Laboratory of VGE,Ministry of Education,Nanjing Normal University,Nanjing 210046,China)  
The improvements of earth observation technology and the growing accumulated multi-dimensional spatial-temporal field data.It is already a research hotspot of the integration and expression of these data.The modeling and simulation of global geo-processes also require new demands on the modeling,retrieval 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 different 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 useful exploration on high-dimensional spatial-temporal field modeling and data analysis.
【Fund】: 国家自然科学基金项目(41171300);; 国家863计划项目(2009AA12Z205)资助
【CateGory Index】: P228
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