Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN

ZHAO Huailiang; YANG Runping; ZHAO Shaohua; SU Runmei; CHEN Linyu; SHANG Qiufeng; YAO Guozhen

doi:10.13921/j.cnki.issn1002-5561.2025.02.006

Optical Communication Technology, Volume. 49, Issue 2, 29(2025)

Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN

ZHAO Huailiang¹, YANG Runping¹, ZHAO Shaohua¹, SU Runmei¹, CHEN Linyu¹, SHANG Qiufeng², and YAO Guozhen²

¹Inner Mongolia Electric Power (Group) Co., Ltd., Inner Mongolia Ultra High Voltage Power Supply Branch, Hohhot 010000, China

²Department of Electronics and Communication Engineering, North China Electric Power University, Baoding Hebei 071003, China

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References(4)

[4] [4] DING Z W, ZHANG X P, ZOU N M, et al. Phi-OTDR based on-line monitoring of overhead power transmission line[J]. Journal of Lightwave Technology, 2021, 39(15): 5163-5172.

[6] [6] LIU T, LI H, HE T, et al. Ultra-high resolution strain sensor network assisted with an LS-SVM based hysteresis model[J]. Opto-Electronic Advances, 2021, 4(5): 5-15.

[7] [7] LIU S, YU F, HONG R, et al. Advances in phase-sensitive optical timedomain reflectometry[J]. Opto-Electronic Advances, 2022, 5(3): 28-55.

[8] [8] HUANG Y, ZHAO H, ZHAO X, et al. Pattern recognition using selfreference feature extraction for -OTDR[J]. Applied Optics, 2022, 61(35): 10507-10518.

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ZHAO Huailiang, YANG Runping, ZHAO Shaohua, SU Runmei, CHEN Linyu, SHANG Qiufeng, YAO Guozhen. Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN[J]. Optical Communication Technology, 2025, 49(2): 29

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Paper Information

Special Issue:

Received: Sep. 28, 2024

Accepted: Apr. 25, 2025

Published Online: Apr. 25, 2025

The Author Email:

DOI:10.13921/j.cnki.issn1002-5561.2025.02.006

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology