Large scale terrain visualization using the restricted quadtree triangulation
Proceedings of the conference on Visualization '98
Geometry clipmaps: terrain rendering using nested regular grids
ACM SIGGRAPH 2004 Papers
Multi-resolution out-of-core modeling of terrain and teological data
Proceedings of the 13th annual ACM international workshop on Geographic information systems
An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization
ICAT '06 Proceedings of the 16th International Conference on Artificial Reality and Telexistence--Workshops
A hybrid particle swarm optimization for binary CSPs
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
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In this paper, we put forward a fast simplification method for the terrain model by integrating the discrete particle swarm optimization with the hierarchical structure. In this method, each particle is represented as a hierarchical structure and corresponds to a candidate solution of the simplified terrain model. In order to acquire an optimal simplified model, we proposed a new model error evaluation function based on the terrain features. Thereby the terrain model yielded by this method has high self-adaptability and optimal simplification ratio. Furthermore, the velocity of the particle is redefined as the probability of the model being simplified superiorly. Therefore, the particles can converge to the optimal simplified model rapidly. The experimental results performed on benchmark terrain data show that the efficiency and the precision of our algorithm are improved greatly and the detailed features in the simplified model are preserved, compared with the others common simplification method.