A Simplification Method of Terrain Modeling Based on Spatial-autocorrelation
Yunhua Gu, Xiaoyan Wu, Jin Wang
Abstract
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Yunhua Gu, Xiaoyan Wu, Jin Wang
Abstract
Open-access reader
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.
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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.
Key concepts: Autocorrelation, Terrain, Spatial analysis, Computer science, Geography, Remote sensing, Cartography, Mathematics