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Lookup NU author(s): David Barber, Professor Jon MillsORCiD, Dr Sarah Smith-Voysey
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This paper outlines a study, carried out on behalf of a national mapping agency, to validate laser scanned point cloud data collected by a ground-based mobile mapping system. As the need for detailed three-dimensional data about our environment continues to grow, ground-based mobile systems are likely to find an increasingly important niche in national mapping agency applications. For example, such systems potentially provide the most efficient data capture for numerical modelling and/or visualisation in support of decision making, filling a void between static terrestrial and mobile airborne laser scanning. This study sought to assess the precision and accuracy of data collected using the StreetMapper system across two test sites: a peri-urban residential housing estate with low density housing and wide streets, and a former industrial area consisting of narrow streets and tall warehouses. An estimate of system precision in both test sites was made using repeated data collection passes, indicating a measurement precision (95%) of between 0.029 m and 0.031 m had been achieved in elevation. Elevation measurement accuracy was assessed against check points collected using conventional surveying techniques at the same time as the laser scanning survey, finding RMS errors in elevation in the order of 0.03 m. Planimetric accuracy was also assessed, with results indicating an accuracy of approximately 0.10 m, although difficulties in reliably assessing planimetric accuracy were encountered. The results of this validation were compared against a theoretical error pre-analysis which was also used to show the relative components of error within the system. Finally, recommendations for future validation methodologies are outlined and possible applications of the system are briefly discussed. © 2007 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).
Author(s): Barber DM, Mills JP, Smith SL
Publication type: Article
Publication status: Published
Journal: ISPRS Journal of Photogrammetry and Remote Sensing
Year: 2008
Volume: 63
Issue: 1
Pages: 128-141
Print publication date: 01/01/2008
ISSN (print): 0924-2716
ISSN (electronic): 1872-8235
Publisher: Elsevier BV
URL: http://dx.doi.org/10.1016/j.isprsjprs.2007.07.005
DOI: 10.1016/j.isprsjprs.2007.07.005
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