Home // GEOProcessing 2022, The Fourteenth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article

C2 Spline Quasi-Interpolation To Downscale A Digital Elevation Model

Authors:
Salah Eddargani
Domingo Barrera
María J. Ibáñez
Juan F. Reinoso-Gordo
Francisco J. Ariza-López

Keywords: Powell-Sabin triangulation; Bernstein-Bézier representation; data quality; approximating splines; DEM; resampling

Abstract:
Digital Elevation Models (DEMs) are one of the products delivered by most of the national and regional cartographic agencies of the states. They are discrete representations of a territory and are of undoubted practical importance. Algorithms based on available discrete data make it possible to estimate terrain-related features and perform on DEMs operations of interest. Resampling is one of them (particularly downscaling). Traditional algorithms compute slope and curvature from discrete samples. In this paper a low computational cost spline-based procedure to construct a C2 continuous surface fitting the data is proposed which will allow to compute slope and curvature. To assess the downscaling quality of the quasi-interpolation-based algorithm, it is proposed two analysis: a) an horizontal displacement computation based on particle image velocimetry and b) a visual analysis for the height error pattern using a threshold parameter

Pages: 41 to 42

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-983-6

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022