Title

Wavelet based buildings segmentation in airborne laser scanning data set

Journal title

Geodesy and Cartography

Yearbook

2011

Volume

vol. 60

Issue

No 2

Authors

Keller, Wolfgang ; Borkowski, Andrzej

Keywords

wavelet ; airborne laser scanning ; segmentation ; multi-resolution analysis

Divisions of PAS

Nauki Techniczne

Publisher

Commitee on Geodesy PAS

Date

2011

Type

Artykuły / Articles

Identifier

DOI: 10.2478/v10277-012-0010-0 ; ISSN 2080-6736

Source

Geodesy and Cartography; 2011; vol. 60; No 2

References

Awrangjeb M. (2010), Automatic detection of residential buildings using LIDAR data and multispectral imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 65, 2010, 457, doi.org/10.1016/j.isprsjprs.2010.06.001 ; Axelsson P. (2000), DEM generation from laser scanner data using adaptive TIN models, International Archives of Photogrammetry and Remote Sensing, XXXIII-1/B4, 110. ; Borkowski A. (2004), Modellierung von Oberflächenmit Diskontinuitäten, Deutsche Geodätische Kommission, Reihe C, 575. ; Borkowski A. (2008), Airborne laser scanning data filtering using flakes, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 179. ; Briese C. (2002), Applications of the robust interpolation for DTM determination, null, XXXIV/3A, 55. ; Carlberg M. (2009), Classifying urban landscape in aerial LiDAR using 3D shape analysis, null, 1701. ; Dorninger P. (2008), A comprehensive automated 3D approach for building extraction, reconstruction and regularization from air borne laser scanning point cloud, Sensors, 8, 7323, doi.org/10.3390/s8117323 ; Elmqvist M. (2002), Ground surface estimation from airborne laser scanner data using active shape models, null, 114. ; Filin S. (2006), Segmentation of airborne laser scanning data using a slope adaptive neighbourhood, ISPRS Journal of Photogrammetry and Remote Sensing, 60. ; Forlani G. (2006), Complete classification of row LiDAR data and 3D reconstruction of buildings, Pattern Analysis and Applications, 8, 357, doi.org/10.1007/s10044-005-0018-2 ; Haala N. (2010), An update on automatic 3D building reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, 65, 570, doi.org/10.1016/j.isprsjprs.2010.09.006 ; Kabolizade M. (2010), An improved snake model for automatic extraction of buildings from urban aerial images and LiDAR data, Computers, Environment and Urban Systems, 34, 435, doi.org/10.1016/j.compenvurbsys.2010.04.006 ; Keller W. (2004), Wavelets in Geodesy and Geodynamics, doi.org/10.1515/9783110198188 ; Kraus K. (2000), Photogrammetrie. Band 3. TopographischeInformatonssysteme, doi.org/10.1515/9783110906165 ; Kraus K. (2001), Advanced DTM generating from LIDAR data, XXXIV-3/W4, 23. ; Laky S. (2010), Land classification of wavelet-compressed full-waveform LiDAR data, International Archives of Photogrammetry and Remote Sensing, XXXVIII-3A, 115. ; Louis A. (1998), Wavelets, doi.org/10.1007/978-3-322-80136-4 ; Mallet C. (2008), Analysis of full-waveform LiDAR data for classification of urban areas, 337. ; Matikainen L. (2003), Autimatic detection of buildings from laser scanner data for map updating, International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences, 33, 3/W13, 218. ; Melzer T. (2007), Non-parametric segmentation of ALS point clouds using mean shift, Journal of Applied Geodesy, 1, 3, 159, doi.org/10.1515/jag.2007.018 ; Neidhart H. (2008), Extraction of buildings ground planes from LiDAR data, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 405. ; S. Oude Elbering (2009), Building reconstruction by terged based graph matching on incomplete laser data: analysis and limitations, Sensors, 9, 8, 6101, doi.org/10.3390/s90806101 ; Roggero M. (2001), Airborne laser scanning: Clustering in row data, XXXIV-3/W4, 227. ; Sampath A. (2007), Building boundary tracing and regularization from airborne pointclouds, Photogrammetric Engineering & Remote Sensing, 73, 7, 805, doi.org/10.14358/PERS.73.7.805 ; Sithole G. (2001), Filtering of laser altimetry data using a slope adaptive filter, XXXIV-3/W4, 203. ; Sithole G. (2004), Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, LIX, 85, doi.org/10.1016/j.isprsjprs.2004.05.004 ; Vosselman G. (2010), Airborne and terrestrial laser scanning. ; Vu T. (2002), Wavelet-based filtering the cloud points derived from airborne laser scanner, null. ; Wei H. (2006), Unsupervised segmentation using Gabor Wavelets and statistical features in LIDAR data analysis, null. ; Xu L. (2007), Ground extraction from airborne laser data based on wavelet analysis, null, doi.org/10.1117/12.750425

Aims and scope

The Advances in Geodesy and Geoinformation (formerly “Geodesy and Cartography”) is an open access international journal (semiannual) concerned with the study of scientific problems in the field of geodesy, geoinformation and their related interdisciplinary sciences. The journal has a rigorous peer–review process to ensure the best research publications. It is publishing peer–reviewed original articles on theoretical or modelling studies, and on results of experiments associated with geodesy and geodynamics, geoinformation, cartography and GIS, cadastre and land management, photogrammetry, remote sensing and related disciplines. Besides original research articles, the Advances in Geodesy and Geoinformation also accepts review articles on topical subjects, short notes/letters and communication of a great importance to the readers, and special issues arising from the national/international conferences as well as collection of articles that concentrates on a hot topical research area that falls within the scope of the journal.

Content of Advances in Geodesy and Geoinformation is archived with a long-term preservation service by the National Library of Poland.