Title

A novel computational paradigm for creating a Triangular Irregular Network (TIN) from LiDAR data

Authors

Authors

T. Ali;A. Mehrabian

Comments

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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

WOS:000277952800232

ISSN

0362-546X

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