Earticle

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

Abstract
 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

키워드

저자

• Yunhua Gu [ Jiangsu Engineering Center of Network Monitoring, School of Computer & Software Nanjing University of Information Science and Technology, Nanjing, 210044, China ]
• Xiaoyan Wu [ Jiangsu Engineering Center of Network Monitoring, School of Computer & Software Nanjing University of Information Science and Technology, Nanjing, 210044, China ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, School of Computer & Software Nanjing University of Information Science and Technology, Nanjing, 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605