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Remote Sens. 2015, 7(4), 4581-4603; doi:10.3390/rs70404581

Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems

1
Department of Mathematics, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland
2
Centre for Sustainable Forestry and Climate Change, Forest Research, Farnham GU10 4LH, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Nicolas Baghdadi and Prasad S. Thenkabail
Received: 3 February 2015 / Revised: 13 March 2015 / Accepted: 3 April 2015 / Published: 16 April 2015
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Abstract

One way to model a tree is to use a collection of geometric primitives to represent the surface and topology of the stem and branches of a tree. The circular cylinder is often used as the geometric primitive, but it is not the only possible choice. We investigate various geometric primitives and modelling schemes, discuss their properties and give practical estimates for expected modelling errors associated with the primitives. We find that the circular cylinder is the most robust primitive in the sense of a well-bounded volumetric modelling error, even with noise and gaps in the data. Its use does not cause errors significantly larger than those with more complex primitives, while the latter are much more sensitive to data quality. However, in some cases, a hybrid approach with more complex primitives for the stem is useful. View Full-Text
Keywords: tree modelling; terrestrial laser scanning; shape fitting; biomass estimation; error analysis tree modelling; terrestrial laser scanning; shape fitting; biomass estimation; error analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Markku, Å.; Raumonen, P.; Kaasalainen, M.; Casella, E. Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems. Remote Sens. 2015, 7, 4581-4603.

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