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The effects of data reduction on LiDAR-based digital elevation models

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dc.contributor.author Immelman, Jaco
dc.contributor.author Scheepers, Lukas G.C.
dc.date.accessioned 2012-11-18T19:35:26Z
dc.date.available 2012-11-18T19:35:26Z
dc.date.issued 2011
dc.identifier.citation Immelman, J. & Scheepers, L.G.C. 2011. The effects of data reduction on LiDAR-based digital elevation models. Image and Signal Processing (CISP), 4th International Congress on , 3:1694-1698, 15-17 Oct. 2011. DOI: 10.1109/CISP.2011.6100417 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6100417&isnumber=6100391 en_US
dc.identifier.isbn 978-1-4244-9306-7
dc.identifier.uri http://hdl.handle.net/10210/8224
dc.description.abstract LiDAR data enables highly accurate terrain representations, however, various applications are hampered by data handling efficiency; specifically lengthy processing times. To address this, both point density reductions and the use of various resolution grids are compared as data reduction methods to test their effects on the accuracy and handling efficiency of the derived Digital Elevation Model (DEM). A series of point densities of 1%, 10%, 25%, 50% and 75% were interpolated along a range of horizontal resolutions (1-, 2-, 3-, 4-, 5-, 10-, and 30- m). Results indicate that resolution reduction provides the most efficient DEMs in terms of their data handling. DEMs generated at a 3 m resolution using all of the data points deviated less than 6% from the 1mDEM100%, while significantly only taking 10% of the processing time. Resolution reduction provided sufficient accuracies for varying terrain complexities. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.rights © IEEE, 2011. Available online at: URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6100417&isnumber=6100391 en_US
dc.subject Digital elevation model en_US
dc.subject Data reduction en_US
dc.subject Data handling efficiency en_US
dc.subject Resolution grids en_US
dc.title The effects of data reduction on LiDAR-based digital elevation models en_US
dc.type Article en_US

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