International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

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4.0
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IJIET 2011 Vol.3(2): 320-323
doi: 10.7763/IJCTE.2011.V3.325

Study of the TIN Gross Error Detection based on Terrain Inclination

Sheng Qinghong

Abstract

Surface model construction is the basis of three-dimensional model representation and contour drawing. This paper constructs Delaunay triangulation (TIN) with three-dimensional points first, then discusses the unreasonable contour configuration produced by the triangulation data, analyzes the source of errors, and points out that gross errors and random errors are made in the process of image matching and orientation. This paper puts forward a method of TIN gross error detection by using determined points and neighborhood inclinations, which is proved to be a simple and effective method of gross error detection and can eliminate serious distortions of contours in points of gross errors.

Keywords

  • digital
  • elevation
  • model;
  • triangulation;
  • contour;gross
  • error
  • detection
325-G865

How to Cite

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Sheng Qinghong, "Study of the TIN Gross Error Detection based on Terrain Inclination," International Journal of Computer Theory and Engineering, vol. 3, no. 2, pp. 320-323, 2011. https://doi.org/10.7763/IJCTE.2011.V3.325

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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