Efficient visualization techniques for high resolution remotely sensed data in a network environment

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.