Scholarly record
SYSTEM FOR DIGITAL ELEVATION MODEL GENERATION FROM LIDAR DATA
Abstract
Recent advances in remote sensing have changed conventional ways of collecting and processing elevation data. Especially Light Detection and Ranging (LiDAR) has become one of the leading technologies for rapid acquisition of elevation data. In this paper we present a system for digital elevation model (DEM) construction from LiDAR data. First, we present a visualization technique that allows efficient representation for LiDAR data processing. This makes the data segmentation, which is the key step in DEM generation, possible to be performed efficiently, with higher precision, and reliable. For the purpose of the data segmentation, points can be projected on an arbitrary plane, parallel with Z axis (cross section). This allows users to get better control over the points by allowing measurements of distances and angles between them. After the ground points are obtained, DEM can be generated. Usually ground points are re-sampled first into a required DEM grid resolution and then triangulated.
Publication details
References16
Wehr A. & Lohr U., Airborne laser scanning - an introduction and overview, ISPRS Journal of Photogrammetry & Remote Sensing, vol. 54/issue 2-3, pp 68-82, 1999
Maune D.F., Land development handbook, Aerial mapping and Surveying, pp 877-910,2008
Mongus D. & Zalik B., Efficient method for lossless LiDAR data compression, International Journal of Remote Sensing, in press
Persson A., Sòderman U., Topel J. & Ahlberg S., Visualization and analysis of full-waveform airborne laser scanner data, Proceedings of the ISPRS Workshop Laser scanning 2005, Netherland, vol. 36/issue 3, pp 103-108, 2005
Botsch M., Wiratanaya A. & Kobbelt L., High-quality point-based rendering on modern GPUs, Proceeding of Pacific Graphics, pp 335-343, 2003
Engel W., ShaderXó: Advanced Rendering Techniques, Charles River Media, Boston, 130-155,2008
Vahora F., Temkin B. & Gorman P., Development of Real -Time Virtual Reality Haptic Application: Real-Time Issues, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems, pp 290-295, 1999
Sunar M.S., Zin A.M. & Sembok M.T., Improved View Frustum Culling Technique for Real-Time Virtual Heritage Application, The international Journal of Virtual Reality, vol. 7/issue 3, pp 43-48, 2008
Chen C, Chuang J., Lee B., Feng W. & Chiou T, Rendering complex scenes using spatial subdivision and textured LOD meshes, Computer & Graphics, vol. 27/issue 2, pp 189-204,2003
Antonarakis A.S., Richards K.S. & Brasington J., Object-based land cover classification using airborne LiDAR, Remote sensing of Environment, vol. 1 12/issue 6, pp 2988-2998, 2008
Miliaresis G & Kokkas N., Segmentation and object-based classification for the extraction of the building class from LIDAR DEMs, Computer & Geosciences, vol. 33/issue 8, pp 1076-1087, 2007
Mallet C, Soergel U. & Bretar F., Analysis of full-Waveform LIDAR data for classification of urban areas, International Archives of Photogrammetry, vol. 37, pp 8592, 2008
Brügelmann R., Automatic Breakline Detection from Airborne Laser Range Data, International Archives of Photogrammetry and Remote Sensing, Netherland, vol. 33, pp 109-1 15, 2000
Kaufmann O. & Martin T, 3D geological modelling from boreholes, crosssection and geological maps, application over former natural gas storages in coal mines, Computer & Geosciences, vol. 34/issue 3, pp 278-290, 2008
Zalik B., An efficient sweep-line Delaunay triangulation algorithm, Computer Aided Design, vol. 37/issue 10, pp 1 027- 138, 2005
Fowler RJ. & Little J.J., Automatic extraction of Irregular Network digital terrain models, Proceedings of the 6th annual conference on Computer graphics and interactive techniques, pp 199-207, 1979
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
