Estimating Scots pine (Pinus sylvestrisL.) log diameter under bark by using shape and image data
| Autor: | Julia K. Denzler, Andreas Weidenhiller, Michael Golser |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
040101 forestry
0106 biological sciences Colour image biology Scots pine Forestry Picea abies 04 agricultural and veterinary sciences biology.organism_classification 01 natural sciences Abies alba Pinus 010608 biotechnology visual_art Botany Tracheid visual_art.visual_art_medium 0401 agriculture forestry and fisheries Environmental science Bark |
| Zdroj: | Scandinavian Journal of Forest Research. 31:286-293 |
| ISSN: | 1651-1891 0282-7581 |
| DOI: | 10.1080/02827581.2015.1072241 |
| Popis: | The sawmilling industry stores and measures logs in bark in order to maximize efficiency, quality conservation and preservation. However, billing is based on the diameter under bark, which it is necessary to estimate based on manual or automatic bark detection. Recently, an approach for automatic determination of diameter under bark based on a multi-sensor approach, including shape data, colour image data and tracheid effect data has been presented, including promising results for logs of the species Norway spruce (Picea abies (L.) H. Karst) and Silver fir (Abies alba Mill.). This paper extends this approach to Scots pine (Pinus sylvestris L.). The comparison of the estimated diameters under bark of 270 pine logs with the respective diameters after debarking shows that the method works well and reliably. Estimation errors are in general close to zero and are below ±10 mm for 98% of the logs. In comparison with manual bark detection, the automatic approach is clearly an improvement. Influences of season or... |
| Databáze: | OpenAIRE |
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