Open AccessReconstruction of Terrain based on corrected Digital Elevation Models
Author(s) -
A. S. Korotin,
E.V. Popov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1260/7/072007
Subject(s) - inverse distance weighting , digital elevation model , shuttle radar topography mission , interpolation (computer graphics) , kriging , terrain , vegetation (pathology) , triangulation , elevation (ballistics) , remote sensing , computer science , multivariate interpolation , mathematics , geography , cartography , geometry , computer vision , bilinear interpolation , statistics , image (mathematics) , medicine , pathology
The paper describes the method of reducing the errors, primarily caused by vegetation, in open digital models like Aster and SRTM. These models do not usually meet the requirements of hydrological correctness due to the errors of different origin. The main errors of DEM are the distortion of the tilt angles and the absolute altitude component in the areas occupied by forest vegetation. We propose the method for eliminating vegetation cover by a local interpolation function and Lagrange polynomial interpolation. The paper also considers the comparison of the proposed method with other methods such as Triangulation Irregular Network (TIN), Inverse Distance Weighting (IDW), Natural Neighbor, Kriging, Radial Basis Functions.