Title
A novel computational paradigm for creating a Triangular Irregular Network (TIN) from LiDAR data
Abbreviated Journal Title
Nonlinear Anal.-Theory Methods Appl.
Keywords
Triangulation; TIN; LiDAR; DEM; Terrain surface; Mathematics, Applied; Mathematics
Abstract
The Triangular Irregular Network (TIN) model is an alternative to the grid-based representation of the terrain surface adopted in numerous digital mapping and geographic information systems. In TIN, irregularly spaced sample points model the terrain in such a way that more points represent the areas with rough terrain and there are fewer in smooth terrain. Despite its simplicity, creating a TIN model for an area involves (a) picking sample points, (b) connecting points into triangles, and (c) modeling the surface within each triangle. Most of the available algorithms for picking sample points use either a dense Digital Elevation Model (DEM) or a set of digitized contours as input. Now, the availability and popularity of Light Detection And Ranging (LiDAR) devices, which produce clouds of points, require the development of a new computational paradigm for picking sample points from the new data. This article presents a novel computational framework for picking sample points to create a TIN model from LiDAR data. (C) 2008 Elsevier Ltd. All rights reserved.
Journal Title
Nonlinear Analysis-Theory Methods & Applications
Volume
71
Issue/Number
12
Publication Date
1-1-2009
Document Type
Article
Language
English
First Page
E624
Last Page
E629
WOS Identifier
ISSN
0362-546X
Recommended Citation
"A novel computational paradigm for creating a Triangular Irregular Network (TIN) from LiDAR data" (2009). Faculty Bibliography 2000s. 1243.
https://stars.library.ucf.edu/facultybib2000/1243
Comments
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