Implementing Painted Wood Species Classification With Two Neural Networks for Spectral Rectification

WANG Cheng-kun; CHEN Guang-sheng; YANG Zhong; ZHAO Peng; DING Hao-tian

doi:10.3964/j.issn.1000-0593(2024)12-3378-09

Spectroscopy and Spectral Analysis, Volume. 44, Issue 12, 3378(2024)

Implementing Painted Wood Species Classification With Two Neural Networks for Spectral Rectification

WANG Cheng-kun¹, CHEN Guang-sheng², YANG Zhong³, ZHAO Peng^2,4、*, and DING Hao-tian¹

¹College of Electronic and Information Engineering, Heilongjiang University of Science and Technology, Harbin　150010, China

²College of Computer and Control Engineering, Northeast Forestry University, Harbin　150040, China

³Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing　100091, China

⁴College of Computer Science & Technology and Software, Guangxi University of Science and Technology, Liuzhou　545006, China

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WANG Cheng-kun, CHEN Guang-sheng, YANG Zhong, ZHAO Peng, DING Hao-tian. Implementing Painted Wood Species Classification With Two Neural Networks for Spectral Rectification[J]. Spectroscopy and Spectral Analysis, 2024, 44(12): 3378

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Paper Information

Received: Mar. 2, 2024

Accepted: Jan. 16, 2025

Published Online: Jan. 16, 2025

The Author Email: ZHAO Peng (bit_zhao@aliyun.com)

DOI:10.3964/j.issn.1000-0593(2024)12-3378-09

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