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Cluster Computing

, Volume 22, Supplement 4, pp 10385–10395 | Cite as

The data analysis of roughness extraction of target topography using minimum median plane fitting method

  • Qiangfeng WangEmail author
  • Yan Cao
  • Yu Bai
  • Yujia Wu
  • Qingyun Wu
Article
  • 217 Downloads

Abstract

According to the problem that the elevation data does not reflect the slope and surface roughness of target topography, the preprocessing of topographic elevation data and extraction algorithm of topographic feature are proposed, and the corresponding extraction of topographic feature is done. A terrain risk assessment method is presented based on terrain roughness and slope information fusion, aiming at the problem that terrain roughness and gradient cannot be directly reflected from the terrain elevation data, in this paper. The innovation is that it is the first time that the bilinear interpolation algorithm is applied in preprocess of elevation data and extraction of topographic feature, as well as the terrain roughness and gradient information fusion algorithm are applied to terrain feature extraction and risk assessment for the first time. By simulation and checking calculation of a certain digital topography example, it is proved that the extraction method of topographic information based on elevation data is feasible and reliable. It will provide a new research approach for target information recognition and topography risk assessment accurately.

Keywords

Elevation data Topographic slope Surface roughness Minimum median plane fitting Terrain risk assessment 

Notes

Acknowledgements

This paper is supported by Project from education department of Shaanxi Province (No. 16JK1366), president fund from Xi’an Technological University (No. XAGDXJJ1404), Key Problem Tackling Project of Shaanxi Scientific and Technological Office (No. 2016GY-024) and non-traditional machining Key Laboratory Project of Shaanxi Province (No. 15JS041).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Qiangfeng Wang
    • 1
    Email author
  • Yan Cao
    • 1
  • Yu Bai
    • 1
  • Yujia Wu
    • 1
  • Qingyun Wu
    • 1
  1. 1.College of ElectromechanicalXi’an Technological UniversityXi’anChina

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