General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
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IJCTE 2011 Vol.3(2): 320-323 ISSN: 1793-8201
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.

Index Terms—digital elevation model; triangulation; contour;gross error detection

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Cite: 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.


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