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Proceedings Paper

Reconstruction of 3D tree stem models from low-cost terrestrial laser scanner data
Author(s): Dave Kelbe; Paul Romanczyk; Jan van Aardt; Kerry Cawse-Nicholson
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Paper Abstract

With the development of increasingly advanced airborne sensing systems, there is a growing need to support sensor system design, modeling, and product-algorithm development with explicit 3D structural ground truth commensurate to the scale of acquisition. Terrestrial laser scanning is one such technique which could provide this structural information. Commercial instrumentation to suit this purpose has existed for some time now, but cost can be a prohibitive barrier for some applications. As such we recently developed a unique laser scanning system from readily-available components, supporting low cost, highly portable, and rapid measurement of below-canopy 3D forest structure. Tools were developed to automatically reconstruct tree stem models as an initial step towards virtual forest scene generation. The objective of this paper is to assess the potential of this hardware/algorithm suite to reconstruct 3D stem information for a single scan of a New England hardwood forest site. Detailed tree stem structure (e.g., taper, sweep, and lean) is recovered for trees of varying diameter, species, and range from the sensor. Absolute stem diameter retrieval accuracy is 12.5%, with a 4.5% overestimation bias likely due to the LiDAR beam divergence.

Paper Details

Date Published: 20 May 2013
PDF: 12 pages
Proc. SPIE 8731, Laser Radar Technology and Applications XVIII, 873106 (20 May 2013); doi: 10.1117/12.2015963
Show Author Affiliations
Dave Kelbe, Rochester Institute of Technology (United States)
Paul Romanczyk, Rochester Institute of Technology (United States)
Jan van Aardt, Rochester Institute of Technology (United States)
Kerry Cawse-Nicholson, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8731:
Laser Radar Technology and Applications XVIII
Monte D. Turner; Gary W. Kamerman, Editor(s)

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