Startseite Comparison of VIS/NIR spectral curves plus RGB images with hyperspectral images for the identification of Pterocarpus species
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Comparison of VIS/NIR spectral curves plus RGB images with hyperspectral images for the identification of Pterocarpus species

  • Cheng-Kun Wang , Peng Zhao EMAIL logo , Zhen-Yu Li und Xiang-Hua Li
Veröffentlicht/Copyright: 28. März 2022
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Holzforschung
Aus der Zeitschrift Holzforschung Band 76 Heft 7

Abstract

The image information and spectral information of wood sections can be used to identify wood species. Hyperspectral images have both image information and spectral information, but they have disadvantages such as large data capacity, slow reading speed, and the necessity of expensive equipment for their acquisition. In this study, the classification results of Pterocarpus by using visible/near infrared (VIS/NIR) spectral information and RGB images were compared with hyperspectral images. The VIS/NIR spectral curves, Hyperspectral, and RGB images of five wood species of Pterocarpus with similar transverse-sections were collected. In feature-level fusion, the feature vectors are directly connected in series, and features fused by canonical correlation analysis are compared. In decision-level fusion, an extreme learning machine and a composite-kernel support vector machine (SVM) are used and compared. In the feature- and decision-level fusion methods, the recognition results of VIS/NIR spectral curves plus RGB images were largely similar to those of hyperspectral images. Therefore, a recognition effect similar to that of the hyperspectral image can be obtained by collecting the spectral information and image information of wood sections separately, which can reduce the cost of data acquisition and improve the speed of data processing.

Keywords: data fusion; hyperspectral image; RGB image; spectral reflectance; wood species recognition
Corresponding author: Peng Zhao, School of Computer Science, Electronics and Electrical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China; and School of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China, E-mail:

Funding source: Guangxi University of Science and Technology Doctoral Research Funding

Award Identifier / Grant number: Grant number 22Z07

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: Grant number 31670717

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research was supported by the National Natural Science Foundation of China (grant number 31670717), and by the Guangxi University of Science and Technology Doctoral Research Funding (grant number 22Z07).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/hf-2021-0194).

Received: 2021-09-21
Revised: 2022-02-19
Accepted: 2022-02-22
Published Online: 2022-03-28
Published in Print: 2022-07-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Original Articles
  3. Comparison of VIS/NIR spectral curves plus RGB images with hyperspectral images for the identification of Pterocarpus species
  4. CT investigation of 3D liquid pathways in the anatomical structure of Norway spruce wood during imbibition
  5. A tailored fast thioacidolysis method incorporating multi-reaction monitoring mode of GC-MS for higher sensitivity on lignin monomer quantification
  6. In situ microstructural evolution of spruce wood during soda pulping using synchrotron X-ray tomography
  7. Bacterial decay in waterlogged archaeological compression wood varies with severity of compression wood
  8. Enhancing the mechanical properties and hydrophobicity of heat-treated wood by migrating and relocating sulfonated lignin
  9. Effect of post-heat treatment on fire retardant treated wood properties
  10. Optical properties of transparent wood composites prepared using transverse sections of poplar wood
  11. Short Notes
  12. XET activity determination in powdered wood samples as an indicator of tension wood, tested on juvenile Populus x euramericana exposed to severe long-term static bending
  13. Natural tyrosinase inhibitors from Betula platyphylla barks
https://doi.org/10.1515/hf-2021-0194
Schlagwörter für diesen Artikel
data fusion; hyperspectral image; RGB image; spectral reflectance; wood species recognition

Artikel in diesem Heft

  1. Frontmatter
  2. Original Articles
  3. Comparison of VIS/NIR spectral curves plus RGB images with hyperspectral images for the identification of Pterocarpus species
  4. CT investigation of 3D liquid pathways in the anatomical structure of Norway spruce wood during imbibition
  5. A tailored fast thioacidolysis method incorporating multi-reaction monitoring mode of GC-MS for higher sensitivity on lignin monomer quantification
  6. In situ microstructural evolution of spruce wood during soda pulping using synchrotron X-ray tomography
  7. Bacterial decay in waterlogged archaeological compression wood varies with severity of compression wood
  8. Enhancing the mechanical properties and hydrophobicity of heat-treated wood by migrating and relocating sulfonated lignin
  9. Effect of post-heat treatment on fire retardant treated wood properties
  10. Optical properties of transparent wood composites prepared using transverse sections of poplar wood
  11. Short Notes
  12. XET activity determination in powdered wood samples as an indicator of tension wood, tested on juvenile Populus x euramericana exposed to severe long-term static bending
  13. Natural tyrosinase inhibitors from Betula platyphylla barks
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