Skip to main navigation Skip to search Skip to main content

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

  • Jing Nong Weng
  • , Lun Wu*
  • , Jian Huang
  • , Yu Bin Xia
  • , Heng Cai
  • *Corresponding author for this work
  • Beihang University
  • Peking University

Research output: Contribution to journalArticlepeer-review

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".

Original languageEnglish
Pages (from-to)124-134
Number of pages11
JournalScience in China, Series E: Technological Sciences
Volume51
Issue numberSUPPL. 1
DOIs
StatePublished - Apr 2008

Keywords

  • Big File
  • High resolution
  • LOD
  • Pyramid model
  • Remotely sensed data
  • Spatial index

Fingerprint

Dive into the research topics of 'Efficient visualization techniques for high resolution remotely sensed data in a network environment'. Together they form a unique fingerprint.

Cite this