Abstract
There are three major research hotspots in efficient visualization techniques of high resolution remotely sensed data in network environment: the data organization 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” organization 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”.
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Supported by the National Basic Research Program of China (“973”) (Grant No. 2005CB321900) and the National Natural Science Foundation of China (Grant No. 40701134)
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Weng, J., Wu, L., Huang, J. et al. Efficient visualization techniques for high resolution remotely sensed data in a network environment. Sci. China Ser. E-Technol. Sci. 51 (Suppl 1), 124–134 (2008). https://doi.org/10.1007/s11431-008-5009-2
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DOI: https://doi.org/10.1007/s11431-008-5009-2