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Efficient visualization techniques for high resolution remotely sensed data in a network environment 被引量:8

Efficient visualization techniques for high resolution remotely sensed data in a network environment
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摘要 There are three major research hotspots in efficient visualization techniques of high resolution remotely sensed data in network environment: the data organiza-tion and access in disk storage,the image data stitching and fitting methods,and the network transfers and access. In this paper a new method of "Big File" organi-zation for improving the storage access efficiency of high resolution remote data is presented; a "virtual data source" concept is introduced to solve the stitching problem of remotely sensed data from different sources with different resolutions; a remotely sensed data access engine design based on ATL technique is discussed to process the network transfers and access of remotely sensed data. All these techniques have been adopted in a prototype of digital China named "ChinaStar". There are three major research hotspots in efficient visualization techniques of high resolution remotely sensed data in network environment: the data organiza-tion and access in disk storage,the image data stitching and fitting methods,and the network transfers and access. In this paper a new method of 'Big File' organi-zation for improving the storage access efficiency of high resolution remote data is presented; a 'virtual data source' concept is introduced to solve the stitching problem of remotely sensed data from different sources with different resolutions; a remotely sensed data access engine design based on ATL technique is discussed to process the network transfers and access of remotely sensed data. All these techniques have been adopted in a prototype of digital China named 'ChinaStar'.
出处 《Science China(Technological Sciences)》 SCIE EI CAS 2008年第S1期124-134,共11页 中国科学(技术科学英文版)
基金 the National Basic Research Program of China ("973") (Grant No. 2005CB321900) the National Natural Science Foundation of China (Grant No. 40701134)
关键词 high RESOLUTION remotely sensed data SPATIAL index PYRAMID model LOD BIG FILE high resolution,remotely sensed data,spatial index,pyramid model,LOD,Big File
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