Network-based visualization of 3D landscapes and city models.

Area of Science:

• Computer Graphics
• Geographic Information Systems
• Network Engineering

Background:

• Visualizing large-scale 3D geospatial data in networked environments presents significant challenges.
• Existing methods often struggle with rendering complex terrain and urban structures efficiently.

Purpose of the Study:

• To enhance the visualization of extensive 3D landscapes and city models.
• To implement effective data streaming techniques for networked 3D environments.

Main Methods:

• Developed and utilized two distinct hierarchical level-of-detail (LOD) models for terrain and building groups.
• Implemented progressive streaming algorithms in both client-server and peer-to-peer network architectures.

Main Results:

• Demonstrated improved visualization performance for large 3D models.
• Successfully applied hierarchical LOD and progressive streaming to networked environments.

Conclusions:

• Hierarchical LOD models are effective for optimizing 3D geospatial data rendering.
• Progressive streaming enhances the usability of large 3D models in network applications.