Wood Species Classification Utilizing Ensembles of Convolutional Neural Networks Established by Near-Infrared Spectra and Images Acquired from Korean Softwood Lumber-Reference-Cited by-同舟云学术

Wood Species Classification Utilizing Ensembles of Convolutional Neural Networks Established by Near-Infrared Spectra and Images Acquired from Korean Softwood Lumber

Published:2019-07 Issue:4 Volume:47 Page:385-392
ISSN:1017-0715
Container-title:Journal of the Korean Wood Science and Technology
language:en
Short-container-title:

Author:

Yang Sang-Yun,Lee Hyung Gu,Park Yonggun,Chung Hyunwoo,Kim Hyunbin,Park Se-Yeong,Choi In-Gyu,Kwon Ohkyung,Yeo Hwanmyeong

Publisher

The Korean Society of Wood Science Technology

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous)

Link

http://www.woodj.org/download/download_pdf?doi=10.5658/WOOD.2019.47.4.385

Reference20 articles.

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3. Study on Rapid Measurement of Wood Powder Concentration of Wood-Plastic Composites using FT-NIR and FT-IR Spectroscopy Techniques;Cho;Journal of the Korean Wood Science and Technology,2016

4. Wood Species Identification of Documentary Woodblocks of Songok Clan of the Milseong Park, Gyeongju, Korea;Eom;Journal of the Korean Wood Science and Technology,2018

5. A probabilistic interpretation of precision, recall and F-score, with implication for evaluation;Goutte,2005

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