Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 98 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


TRAFFIC STATS

1,465,581 unique visits
469,971 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
 Volume 14 (2014)
 
     »   Issue 4 / 2014
 
     »   Issue 3 / 2014
 
     »   Issue 2 / 2014
 
     »   Issue 1 / 2014
 
 
 Volume 13 (2013)
 
     »   Issue 4 / 2013
 
     »   Issue 3 / 2013
 
     »   Issue 2 / 2013
 
     »   Issue 1 / 2013
 
 
  View all issues  








LATEST NEWS

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

2015-Feb-09
Starting on the 9th of February 2015, we require all authors to identify themselves, when a submission is made, by entering their SCOPUS Author IDs, instead of the organizations, when available. This information will let us better know the publishing history of the authors and better assign the reviewers on different topics.

2015-Feb-08
We have more than 500 author names on the ban-list for cheating, including plagiarism, false signatures on the copyright form, false E-mail addresses and even tentative to impersonate well-known researchers in order to become a reviewer of our Journal. We maintain a full history of such incidents.

Read More »


    
 

  3/2013 - 2

Automatic Building Extraction from Terrestrial Laser Scanning Data

HAO, W. See more information about HAO, W. on SCOPUS See more information about HAO, W. on IEEExplore See more information about HAO, W. on Web of Science, WANG, Y. See more information about  WANG, Y. on SCOPUS See more information about  WANG, Y. on SCOPUS See more information about WANG, Y. on Web of Science, NING, X. See more information about  NING, X. on SCOPUS See more information about  NING, X. on SCOPUS See more information about NING, X. on Web of Science, ZHAO, M. See more information about  ZHAO, M. on SCOPUS See more information about  ZHAO, M. on SCOPUS See more information about ZHAO, M. on Web of Science, ZHANG, J. See more information about  ZHANG, J. on SCOPUS See more information about  ZHANG, J. on SCOPUS See more information about ZHANG, J. on Web of Science, SHI, Z. See more information about  SHI, Z. on SCOPUS See more information about  SHI, Z. on SCOPUS See more information about SHI, Z. on Web of Science, ZHANG, X. See more information about ZHANG, X. on SCOPUS See more information about ZHANG, X. on SCOPUS See more information about ZHANG, X. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,092 KB) | Citation | Downloads: 382 | Views: 2,352

Author keywords
building extraction, point cloud segmentation, plane recognition, terrestrial laser scanning

References keywords
data(13), sensing(9), remote(9), photogrammetry(8), segmentation(6), laser(6), extraction(6), ransac(5), point(5), isprs(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03002
Web of Science Accession Number: 000326321600002
SCOPUS ID: 84884962911

Abstract
Quick view
Full text preview
The extraction of building from the huge amount of point clouds with different local densities, especially in the presence of random noisy points, is still a formidable challenge. In this paper, we present a complete strategy for building extraction from terrestrial laser scanning data. First, a novel segmentation method is proposed to facilitate the task of building extraction. The points are grouped based on the normals and the adjacency relationships. Second, the planar surfaces are recognized from the segmentation results based on the properties of the Gaussian image. Finally, the buildings are extracted from the urban point clouds based on a collection of characteristics of point cloud segments like shape, normal direction and topological relationship. Experimental results demonstrate that the proposed method can be used as a robust way to extract buildings from terrestrial laser scanning data. At the same time, the buildings are decomposed into several patches which lay a good foundation for building reconstruction.


References | Cited By  «-- Click to see who has cited this paper

[1] N. Haala, C. Brenner, "Extraction of buildings and trees in urban environments," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 54, pp.130-137, 1999.
[CrossRef] [Web of Science Times Cited 205] [SCOPUS Times Cited 279]


[2] M. Morgan, K. Tempfli, "Automatic building extraction from airborne laser scanning data," Archives of Photogrammetry and Remote Sensing, pp. 616-623, 2000.

[3] J. Dash, E. Steinle, R. P. Singh, H. P. Bahr, "Automatic building extraction from laser scanning data: an input tool for disaster management," Advances in space research, vol. 33, pp.317-322, 2004.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 39]


[4] J. Lam, K. Kusevic, P. Mrstik, R. Harrap and M. Greenspan, "Urban Scene Extraction from Mobile Ground Based LiDAR Data," International Symposium on 3D Data, Visualization & Transmission, pp.1-8, 2010.

[5] S. Barnea and S. Filin, "Extraction of Objects from Terrestrial Laser Scans by Integrating Geometry Image and Intensity Data with Demonstration on Trees," Remote Sensing, vol. 4, no. 1, pp.88-110, 2012.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[6] C. Bollesr, A. Fischler, "A ransac-based approach to model fitting and its application to finding cylinders in range data," In Proceedings of the 7th International Joint Conference on Artificial Intelligence, pp.637-643, 1981.

[7] Hough, P.V.C., 1962. Method and means for recognizing complex patterns. U. S. Patent 3,069,654.

[8] F. Tarsha-Kurdi, T. Landes, P. Grussenmeyer, "Hough-transform and extended RANSAC algorithms for automatic detection of 3D building roof planes from lidar data," ISPRS International Archives of Photogrammetry, Remote Sensing and Spatial Information Systems, vol.XXXVI, Part 3/W52, pp.407-412, 2007.

[9] T. Chaperon, F. Goulette. "Extracting cylinders in full 3D data using a random sampling method and the Gaussian image," In Proceedings of the Vision Modeling and Visualization Conference, pp.35-42, 2001.

[10] G. Roth, M.D. "Levine: Extracting geometric primitives," CVGIP: Image Understanding, vol. 58, no. 1, pp.1-22, 1993.
[CrossRef] [SCOPUS Times Cited 12]


[11] D. Nistere: "Preemptive RANSAC for live structure and motion estimation," Machine Vision and Applications, vol. 16, no. 5, 321-329, 2005.
[CrossRef] [Web of Science Times Cited 108] [SCOPUS Times Cited 138]


[12] R. Schnabel, R. Wahl, R. Klein, "Efficient RANSAC for point-cloud shape detection," Computer Graphics Forum, vol. 26, no. 2, pp.214-226, 2007.
[CrossRef] [Web of Science Times Cited 302] [SCOPUS Times Cited 446]


[13] F. Tarsha-Kurdi, T. Landes, P. Grussenmeyer, "Extended RANSAC algorithm for automatic detection of building roof planes from LIDAR data," The Photogrammetric Journal of Finland, vol. 21, no.1, pp.97-109, 2008.

[14] W. Yao, S. Hinz, U. Stilla, "Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis," ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, no.3, pp.260-271, 2011.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 24]


[15] T. Rabbani, Van den Heuvel F A., M. G.Vosselman, "Segmentation of point clouds using smoothness constraint," International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 36, no.5, pp.248-253, 2006.

[16] G. Vosselman, B. G. H. Gorte, G. Sithole, T. Rabbani, "Reconstruction of 3D building models from aerial images and maps," ISPRS Journal of Photogrammetry and Remote Sensing, vol.58, no.3, pp.202-224, 2004.

[17] J. Chen, B. Q. Chen, "Architectural modeling from sparsely scanned range data," International Journal of Computer Vision, vol.78, no.2-3, pp. 223-236, 2008.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 39]


[18] X. J. Ning, X. P. Zhang, Y.H. Wang, "Segmentation of architecture shape information from 3D point cloud," In Proc. of VRCAI 2009(8th Virtual Reality Continuum and its Applications in Industry), pp.127-132, 2009.

[19] S. Filin, "Surface clustering from airborne laser scanning data," International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.34, Part 3A, pp.117-124, 2002.

[20] G. Lavoue, F. Dupont, A. Baskurt, "A new CAD mesh segmentation method, based on curvature tensor analysis," Computer-Aided Design, vol. 37, no.10, pp.975-987, 2005.
[CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 101]


[21] Y. Cheng, "Mean shift, mode seeking, and clustering," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 17, no.8, pp.790-799, 1995.
[CrossRef] [Web of Science Times Cited 1207] [SCOPUS Times Cited 1899]


[22] D. Comaniciu, P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.24, no.5, pp.603-619, 2002.
[CrossRef] [Web of Science Times Cited 3798] [SCOPUS Times Cited 5990]


[23] Y. Liu, Y. L. Xiong, "Automatic segmentation of unorganized noisy point clouds based on the Gaussian map," Computer Aided Design, vol. 40, no.5, pp.576-594, 2008.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 39]


[24] J. M. Biosca, J. L. Lerma, "Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods," ISPRS Journal of Photogrammetry & Remote Sensing, vol.63, pp.84-98, 2008.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 62]


[25] K. Klasing., D.Wollherr, M. Buss, "A Clustering Method for Efficient Segmentation of 3D Laser Data," In International conference on Robotics and Automation, pp. 4043-4048, 2008.

[26] H. Hoppe, T. DeRose, T. Duchamp, "Surface reconstruction from unorganized points," In Proceedings of ACM SIGGRAPH, pp.71-78, 1992.

[27] T. S. Smith, R. T. Farouki, "Gauss map computation for free-form surfaces," Computer-Aided Geometric Design, vol.18, pp.831-850, 2001.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 17]




References Weight

Web of Science® Citations for all references: 5,842 TCR
SCOPUS® Citations for all references: 9,092 TCR

Web of Science® Average Citations per reference: 209 ACR
SCOPUS® Average Citations per reference: 325 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-07 19:59 in 82 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2016
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: