Near-Infrared Random Forest Classification and Recognition Based on Multi-Feature Fusion

XIE Xi-ru; LUO Hai-jun; LI Guo-nan; FAN Xin-yan; WANG Kang-yu; LI Zhong-hong; WANG Jie

doi:10.3964/j.issn.1000-0593(2024)10-2858-07

Spectroscopy and Spectral Analysis, Volume. 44, Issue 10, 2858(2024)

Near-Infrared Random Forest Classification and Recognition Based on Multi-Feature Fusion

XIE Xi-ru¹, LUO Hai-jun^1,2、*, LI Guo-nan¹, FAN Xin-yan¹, WANG Kang-yu¹, LI Zhong-hong¹, and WANG Jie¹

¹Chongqing Key Laboratory of Optoelectronic Functional Materials，School of Physics and Electronic Engineering，Chongqing Normal University，Chongqing　401331，China

²Chongqing National Center for Applied Mathematics，Chongqing Normal University，Chongqing　401331，China

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XIE Xi-ru, LUO Hai-jun, LI Guo-nan, FAN Xin-yan, WANG Kang-yu, LI Zhong-hong, WANG Jie. Near-Infrared Random Forest Classification and Recognition Based on Multi-Feature Fusion[J]. Spectroscopy and Spectral Analysis, 2024, 44(10): 2858

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Paper Information

Received: Jan. 15, 2024

Accepted: Jan. 16, 2025

Published Online: Jan. 16, 2025

The Author Email: LUO Hai-jun (luohaijun@cqnu.edu.cn)

DOI:10.3964/j.issn.1000-0593(2024)10-2858-07

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