
Proceedings Paper
Assessment of lidargrammetry for spatial data extractionFormat | Member Price | Non-Member Price |
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Paper Abstract
Lidargrammetry concerns the production of inferred stereopairs (ISPs) from LiDAR intensity images, intended to stereodigitize
spatial data in digital photogrammetric stations. The production of ISPs is based on the principle of stereoorthomates
and the extraction of a derivative intensity image, in which an artificial x-parallax is being introduced; other
techniques have also developed in order to best utilize the 3D nature of LiDAR data. Lidargrammetry is a relatively new
approach, not yet assessed properly, in order to quantify its derivative spatial data quality and the impact of its reduced
photointerpretative ability, comparing to typical photogrammetric stereomodels. In this paper, a dense point cloud of 55
points/m2 is used, which is thinned out to 25 points/m2 and 7 points/m2 in order to simulate scan missions of lower pulse
repetition frequency. ISPs are being produced from each of these point cloud’s intensity images using the slope parallel
projection method and building footprints are being extracted. Using the denser point cloud’s footprints as control data,
the relative accuracy of the thinner point cloud’s footprints is assessed, in order to evaluate the effect of the decreasing
resolution in the digitization process. Estimated footprint’s relative accuracy (2σ) is 0.5m and 1m for the 25 points/m2 and
the 7 points/m2 clouds respectively. Moreover, a reference footprint dataset was derived, by a stereorestitution procedure,
using high resolution optical aerial images. Absolute spatial accuracy ranges around 1.5 m making the Lidargrammetric
technique capable for extracting spatial data suitable even for large scale mapping.
Paper Details
Date Published: 12 August 2016
PDF: 10 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881L (12 August 2016); doi: 10.1117/12.2240653
Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)
PDF: 10 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96881L (12 August 2016); doi: 10.1117/12.2240653
Show Author Affiliations
Panagiotis Fragkos, National Technical Univ. of Athens (Greece)
Charalabos Ioannidis, National Technical Univ. of Athens (Greece)
Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)
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