Name
Title | ||
|---|---|---|
Hyperspectral imaging as a technique for investigating the effect of consolidating materials on wood. |
Abstract | ||
|---|---|---|
The focus of this study was to investigate the potential of hyperspectral imaging (HSI) in the monitoring of commercial consolidant products applied on wood samples. Poplar (Populus spp.) and walnut (Juglans Regia L.) were chosen for the consolidant application. Both traditional and innovative products were selected, based on acrylic, epoxy, and aliphatic compounds. Wood samples were stressed by freeze/thaw cycles in order to cause material degradation without the loss of wood components. Then the consolidant was applied under vacuum. The samples were finally artificially aged for 168 h in a solar box chamber. The samples were acquired in the short wave infrared (1000 to 2500 nm) range by SISUChema XLTM device (Specim, Finland) after 168 h of irradiation. As comparison, color measurement was also used as an economic, simple, and noninvasive technique to evaluate the deterioration and consolidation effects on wood. All data were then processed adopting a chemometric approach finalized to define correlation models, HSI based, between consolidating materials, wood species, and short-time aging effects. (C) 2016 SPIE and IS&T |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/1.JEI.26.1.011003 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
hyperspectral imaging,wood,consolidation,color measurements,chemometry | Pattern recognition,Computer science,Remote sensing,Color measurement,Material Degradation,Hyperspectral imaging,Artificial intelligence,Reflectivity,Epoxy,Principal component analysis | Journal |
Volume | Issue | ISSN |
26 | 1 | 1017-9909 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Bonifazi | 1 | 3 | 4.23 |
| Silvia Serranti | 2 | 2 | 3.15 |
| Giuseppe Capobianco | 3 | 1 | 1.45 |
| Giorgia Agresti | 4 | 1 | 0.43 |
| Luca Calienno | 5 | 1 | 0.43 |
| Rodolfo Picchio | 6 | 1 | 0.43 |
| Angela Lo Monaco | 7 | 1 | 0.43 |
| Ulderico Santamaria | 8 | 1 | 0.43 |
| Claudia Pelosi | 9 | 1 | 1.45 |