Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks-Reference-Cited by-同舟云学术

Cognitive spectroscopy for wood species identification: near infrared hyperspectral imaging combined with convolutional neural networks

Published:2019 Issue:21 Volume:144 Page:6438-6446
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Kanayama Hideaki¹²³⁴^ORCID,Ma Te¹²³⁴,Tsuchikawa Satoru¹²³⁴,Inagaki Tetsuya¹²³⁴

Affiliation:

1. Nagoya University

2. Graduate School of Bioagricultural Sciences

3. Nagoya

4. Japan

Abstract

From the viewpoint of combating illegal logging and examining wood properties, there is a contemporary demand for a wood species identification system.

Funder

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AN/C9AN01180C

Reference28 articles.

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2. Preliminary material

3. DNA barcoding for identification of the endangered species Aquilaria sinensis: comparison of data from heated or aged wood samples

4. Forest species recognition using macroscopic images

5. Multivariate calibration models using NIR spectroscopy on pulp and paper industrial applications

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