Point Cloud Based Visibility Analysis: first experimental results

Guanting Zhang; P.J.M. van Oosterom; Edward Verbree

Point Cloud Based Visibility Analysis: first experimental results

Guanting Zhang, P.J.M. van Oosterom, Edward Verbree

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 20th AGILE Conference on Geographic Information Science
Subtitle of host publication	Societal Geo-innovation
Editors	Arnold Bregt, Tapani Sarjakoski, Ron van Lammeren, Frans Rip
Publisher	Wageningen University
Number of pages	5
ISBN (Print)	978-90-816960-7-4
Publication status	Published - 2017
Event	AGILE 2017: 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands Duration: 9 May 2017 → 12 May 2017 https://agile-online.org/index.php/conference/conference-2017

Conference

Conference	AGILE 2017: 20th AGILE International Conference on Geographic Information Science
Country/Territory	Netherlands
City	Wageningen
Period	9/05/17 → 12/05/17
Internet address	https://agile-online.org/index.php/conference/conference-2017

Keywords

Visibility analysis
point cloud
surface model
3D model

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@inproceedings{efe7c59c93354d18bfc18712b63ee6b2,

title = "Point Cloud Based Visibility Analysis: first experimental results",

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.",

keywords = "Visibility analysis, point cloud, surface model, 3D model",

author = "Guanting Zhang and {van Oosterom}, P.J.M. and Edward Verbree",

year = "2017",

language = "English",

isbn = "978-90-816960-7-4",

editor = "Arnold Bregt and Tapani Sarjakoski and Lammeren, {Ron van} and Frans Rip",

booktitle = "Proceedings of the 20th AGILE Conference on Geographic Information Science",

publisher = "Wageningen University",

note = "AGILE 2017: 20th AGILE International Conference on Geographic Information Science ; Conference date: 09-05-2017 Through 12-05-2017",

url = "https://agile-online.org/index.php/conference/conference-2017",

}

Zhang, G, van Oosterom, PJM & Verbree, E 2017, Point Cloud Based Visibility Analysis: first experimental results. in A Bregt, T Sarjakoski, RV Lammeren & F Rip (eds), Proceedings of the 20th AGILE Conference on Geographic Information Science: Societal Geo-innovation. Wageningen University, AGILE 2017: 20th AGILE International Conference on Geographic Information Science, Wageningen, Netherlands, 9/05/17.

Point Cloud Based Visibility Analysis: first experimental results. / Zhang, Guanting; van Oosterom, P.J.M.; Verbree, Edward.
Proceedings of the 20th AGILE Conference on Geographic Information Science: Societal Geo-innovation. ed. / Arnold Bregt; Tapani Sarjakoski; Ron van Lammeren; Frans Rip. Wageningen University, 2017.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Point Cloud Based Visibility Analysis

T2 - AGILE 2017: 20th AGILE International Conference on Geographic Information Science

AU - Zhang, Guanting

AU - van Oosterom, P.J.M.

AU - Verbree, Edward

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Visibility analysis

KW - point cloud

KW - surface model

KW - 3D model

M3 - Conference contribution

SN - 978-90-816960-7-4

BT - Proceedings of the 20th AGILE Conference on Geographic Information Science

A2 - Bregt, Arnold

A2 - Sarjakoski, Tapani

A2 - Lammeren, Ron van

A2 - Rip, Frans

PB - Wageningen University

Y2 - 9 May 2017 through 12 May 2017

ER -

Point Cloud Based Visibility Analysis: first experimental results

Abstract

Conference

Keywords

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