期刊论文详细信息
Remote Sensing
Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems
Markku Åkerblom3  Pasi Raumonen3  Mikko Kaasalainen3  Eric Casella1  Nicolas Baghdadi2 
[1]Centre for Sustainable Forestry and Climate Change, Forest Research, Farnham GU10 4LH, UK
[2] E-Mail:Department of Mathematics, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland
[3]
[4]Department of Mathematics, Tampere University of Technology, P.O. Box 553, Tampere 33101, Finland
[5] E-Mails:
关键词: tree modelling;    terrestrial laser scanning;    shape fitting;    biomass estimation;    error analysis;   
DOI  :  10.3390/rs70404581
来源: mdpi
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【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland

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