Point Cloud Based Visibility Analysis

first experimental results

Conference paper (2017)

Authors

G. Zhang Southeast University
P.J.M. van Oosterom OLD Department of GIS Technology
E. Verbree OLD Department of GIS Technology
Research Group
OLD Department of GIS Technology
Copyright: © 2017 G. Zhang, P.J.M. van Oosterom, E. Verbree
More Info
expand_more

Published Date

2017

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

OLD Department of GIS Technology

Abstract

Visibility computed from a LiDAR point cloud offers several advantages compared to using a gridded digital height-model. With a higher resolution and detailed information, point cloud data can provide precise analysis as well as an opportunity to avoid the process of generating a surface representation or a solid model. Also a better inclusion of vegetation is expected. This paper describes motivations for using point cloud in visibility analysis and also makes a comparison of using two different data to perform visibility analysis.