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Proceedings Paper

Visualizing large terrain in desktop environment
Author(s): Hee-Souk Park; Myeongsun Kim; Moonill Heo; Changsung Jeong
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Paper Abstract

We describe several implementation aspects on generating a terrain representation from a digital elevation model (DEM) and visualizing scene from that representation of 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.

Paper Details

Date Published: 25 March 1999
PDF: 9 pages
Proc. SPIE 3643, Visual Data Exploration and Analysis VI, (25 March 1999); doi: 10.1117/12.342827
Show Author Affiliations
Hee-Souk Park, Korea Univ. (South Korea)
Myeongsun Kim, Korea Univ. (South Korea)
Moonill Heo, Daewoo Electronics Co. (South Korea)
Changsung Jeong, Korea Univ. (South Korea)

Published in SPIE Proceedings Vol. 3643:
Visual Data Exploration and Analysis VI
Robert F. Erbacher; Philip C. Chen; Craig M. Wittenbrink, Editor(s)

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