원문정보
초록
영어
To solve the problem of three-dimensional terrain simplification in large-scale which was based on digital elevation model (DEM) data, a terrain simplified method based on the theory of spatial autocorrelation was proposed. The slope, a key factor for expressing the terrain features, has been taken into account in this method. According to principle of regional similarities in geomorphology is related to DEM data correlation, a cluster analysis was performed on the terrain data to get the thresholds distinguish terrain features. On the basis, the gradient-based distance-weighted method was adopted to fit elevation values of the center point and generated a new terrain mesh. The results of experiments show that the method to some extent reduces the size of the data, while maintaining good terrain features and curvature characteristic.
목차
1. Introduction
2. Digital Elevation Model with Spatial autocorrelation Theory
3. Clustering analysis for topographic
4. The Gradient-based Distance-weighted Algorithm
5. The Processes of Terrain Simplification
6. Experiments and Analysis
6.1. Experiment Data
6.2. Error Analysis and Statics
6.3. Curvature Computation
6.4. Terrain Rendering
7. Conclusions and Future Work
Acknowledgements
References