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Rapid Visualization of Global Image and Dem Based on Sdog-essg : Volume Xl-4/W2, Issue 1 (25/10/2013)

By Bo, H. G.

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Book Id: WPLBN0004015075
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Rapid Visualization of Global Image and Dem Based on Sdog-essg : Volume Xl-4/W2, Issue 1 (25/10/2013)  
Author: Bo, H. G.
Volume: Vol. XL-4/W2, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2013
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Wu, L. X., Yang, Y. Z., Yu, J. Q., Xie, L., & Bo, H. G. (2013). Rapid Visualization of Global Image and Dem Based on Sdog-essg : Volume Xl-4/W2, Issue 1 (25/10/2013). Retrieved from http://www.ebooklibrary.org/


Description
Description: College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, P.R. China. Due to the limit of the two-dimension and small scale issues, it's impossible for the conventional planar and spherical global spatial grid to provide a unified real three-dimensional (3D) data model for Earth System Science research. The surface of the Earth is an important interface between lithosphere and atmosphere. Usually, the terrain should be added into the model in global changes and tectonic plates movement researches. However, both atmosphere and lithosphere are typical objects of three-dimension. Thus, it is necessary to represent and visualize the terrain in a real 3D mode. Spheroid Degenerated Octree Grid based Earth System Spatial Grid (SDOG-ESSG) not only solve the problem small-scale issues limited, but also solve the problem of two-dimension issues oriented. It can be used as real 3D model to represent and visualize the global image and DEM. Owing to the complex spatial structure of SDOG-ESSG, the visual efficiency of spatial data based on SDOG-ESSG is very low. Methods of layers and blocks data organization, as well as data culling, Level of Detail (LOD), and asynchronous scheduling, were adopted in this article to improve the efficiency of visualization. Finally, a prototype was developed for the quick visualization of global DEM and image based SDOG-ESSG.

Summary
Rapid visualization of global image and dem based on SDOG-ESSG

 

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