Wood species identification using terahertz time-domain spectroscopy
Open accessAbstract
A new method for wood identification using terahertz (THz) time-domain spectroscopy (TDS) is presented. THz-TDS technology is an emerging method of spectral analysis method that shows great advantages in wood non-destructive testing. Wood is opaque in the optical and near infrared spectrum, and relatively transparent in the THz band. In this experiment, four wood species (Pinus densiflora, Pinus sylvestris, Pseudotsuga menziesii, and Cunninghamia lanceolata) were selected as samples. Optical parameters such as absorption coefficient and refractive index of the measured samples can be extracted from THz time-domain spectra. Principal component analysis was introduced to reduce the dimensionality of the THz spectral data of the wood. The principal component score matrix of the wood was obtained and used as a characteristic matrix. A wood classification model was established using a support vector machine. The experimental results showed that THz-TDS had excellent performance in wood recognition. This research lays a theoretical and application foundation for the application of THz technology in the field of wood detection and recognition. It also provides a new direction and technical scheme in the wood identification field.
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THz-TDS has already been shown to be a suitable tool for investigating wood, including wood identification, imaging defects in building blocks, and dendrochronology.
“In fact, it has already been shown as a suitable tool for investigating wood (e.g., wood identification [10], imaging of defects in building blocks [11], and dendrochronology [12]).”
From Simultaneous detection of density, moisture content and fiber direction of wood by THz time-domain spectroscopy (2020) · cites this paper as [10]
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Kashima, M., Tsuchikawa, S., & Inagaki, T. (2020) · Journal of Wood Science · doi:10.1186/s10086-020-01874-3 · Cited by 27 · see citing works
- Authors
- Wang, Y., She, S., Zhou, N., Zhang, J., Yan, H., & Li, W.
- Affiliations
- Beijing Forestry University (CN)
- Tianjin University (CN)
- Venue
- BioResources
- Publisher
- BioResources
- Published
- 2018-12-12
- Volume
- 14
- Issue
- 1
- Pages
- 1033-1048
- ISSN
- 1930-2126 (ISSN-L)
- OpenAlex
- W2910730061
- Cited by
- 24
- References
- 1
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 5 · 2023: 1 · 2022: 5 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 1
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BioResources (publishedVersion)
- Funders
- National Natural Science Foundation of China (51605031, 2016ZCQ08)
- Tianjin University
- State Key Laboratory of Precision Measurement Technology and Instruments
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Terahertz technology and applications
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Chemistry › Organic Chemistry › Wood and Agarwood Research
- Keywords
- wood identification, terahertz time-domain spectroscopy, non-destructive testing of wood, absorption coefficient, refractive index, principal component analysis, support vector machine, Pinus densiflora, Pinus sylvestris, Pseudotsuga menziesii, Cunninghamia lanceolata, wood classification
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