Visualizing large terrain in desktop environment

Hee Souk Park, Myeong Sun Kim, Moonil Heo, Chang Sung Jeong

Research output: Contribution to journalConference articlepeer-review


We describe several implementation aspects on generating a terrain representation from a digital elevation model (DEM) and visualizing scene from that representation on desktop environment. Most of terrain data is too huge to cram into system memory in low-end computer. Consequently, we must use secondary storage device as a part of system memory at run time. However, dynamic loading of data from a disk is relatively slow, in order to speed up access of terrain data on disk, we use two disk access mechanism: spatial clustering and smart pointer. For spatial clustering, we present a directory structure with Hana code as a key. And with smart pointer, we present an object access method, which can access objects regardless of each stored location. We represent an approximated terrain model generation algorithm which utilize our methods, and a region selective rendering algorithm which can retrieve each queried region.

Original languageEnglish
Pages (from-to)120-128
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1999
EventProceedings of the 1999 Visual Data Exploration and Analysis VI - San Jose, CA, USA
Duration: 1999 Jan 271999 Jan 28

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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