Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris

4 Issues per year


CiteScore 2016: 1.09

SCImago Journal Rank (SJR) 2016: 0.367
Source Normalized Impact per Paper (SNIP) 2016: 0.908

Online
ISSN
1862-9024
See all formats and pricing
More options …
Volume 1, Issue 3 (Nov 2007)

Issues

Non-parametric segmentation of ALS point clouds using mean shift

Thomas Melzer
  • Christian Doppler Laboratory, “Spatial Data from Laser Scanning and Remote Sensing” at Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstr. 27–29, 1040 Vienna, Austria. E-mail:
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2008-01-16 | DOI: https://doi.org/10.1515/jag.2007.018

Abstract

Segmentation is a key task in the processing of 3D point clouds as obtained from airborne laser scanners (ALS). However, most of the segmentation techniques currently employed require prior gridding of the data and thus do not respect the inherently three-dimensional geometry of more intricate structures such as power lines. By contrast, the mean shift procedure, a filtering and clustering approach which has recently found much interest in the image processing community, works directly on the original 3D point cloud; also, mean shift is a non-parametric technique (i.e., it does not depend on any geometric model assumptions) and can thus also be applied to vegetation structures. In this paper, we will give a self-contained derivation of the mean shift procedure, and discuss how it can be used to obtain a classification or segmentation of an unstructured 3D point cloud. Two application examples shall further illustrate its usefulness to ALS data processing.

Keywords: Segmentation; classification; clustering; airborne laser scanning; mean shift

About the article

Received: 2007-04-04

Accepted: 2007-06-12

Published Online: 2008-01-16

Published in Print: 2007-11-01


Citation Information: Journal of Applied Geodesy jag, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag.2007.018.

Export Citation

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Xingbo Hu, Wei Chen, and Weiyang Xu
Remote Sensing, 2017, Volume 9, Number 2, Page 148
[2]
Martin Weinmann, Michael Weinmann, Clément Mallet, and Mathieu Brédif
Remote Sensing, 2017, Volume 9, Number 3, Page 277
[3]
Teng Wu, Xiangyun Hu, and Lizhi Ye
Remote Sensing, 2016, Volume 8, Number 5, Page 383
[4]
Jixing Yan, Jie Shan, and Wanshou Jiang
ISPRS Journal of Photogrammetry and Remote Sensing, 2014, Volume 94, Page 183
[5]
Martin Rutzinger, Bernhard Höfle, Markus Hollaus, and Norbert Pfeifer
Sensors, 2008, Volume 8, Number 8, Page 4505
[6]
Miao Wang and Yi-Hsing Tseng
Photogrammetric Engineering & Remote Sensing, 2010, Volume 76, Number 4, Page 407
[7]
Jixian Zhang and Xiangguo Lin
ISPRS Journal of Photogrammetry and Remote Sensing, 2013, Volume 81, Page 44
[8]
Haiyan Guan, Jonathan Li, Michael Chapman, Fei Deng, Zheng Ji, and Xu Yang
International Journal of Remote Sensing, 2013, Volume 34, Number 14, Page 5166
[9]
Wolfgang Keller and Andrzej Borkowski
Geodesy and Cartography, 2011, Volume 60, Number 2
[10]
Norbert Haala and Martin Kada
ISPRS Journal of Photogrammetry and Remote Sensing, 2010, Volume 65, Number 6, Page 570
[11]
Wolfgang Wagner
ISPRS Journal of Photogrammetry and Remote Sensing, 2010, Volume 65, Number 6, Page 505
[12]
Bernhard Höfle, Markus Hollaus, and Julian Hagenauer
ISPRS Journal of Photogrammetry and Remote Sensing, 2012, Volume 67, Page 134
[13]
Wei Yao, Stefan Hinz, and Uwe Stilla
ISPRS Journal of Photogrammetry and Remote Sensing, 2011, Volume 66, Number 3, Page 260
[14]
Li Guo, Nesrine Chehata, Clément Mallet, and Samia Boukir
ISPRS Journal of Photogrammetry and Remote Sensing, 2011, Volume 66, Number 1, Page 56
[15]
Miao Wang and Yi-Hsing Tseng
The Photogrammetric Record, 2011, Volume 26, Number 133, Page 32

Comments (0)

Please log in or register to comment.
Log in