Mineral Element Abundance Identification Based on LIBS Emission Line Selection by Loading Space Distance of Principal Component Analysis-Reference-Cited by-同舟云学术

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Mineral Element Abundance Identification Based on LIBS Emission Line Selection by Loading Space Distance of Principal Component Analysis

Published:2019 Issue:10 Volume:48 Page:1030002
ISSN:1004-4213
Container-title:ACTA PHOTONICA SINICA
language:en
Short-container-title:光子学报

Author:

GUO Kai-chen 郭恺琛,WU Zhong-chen 武中臣,ZHU Xiang-ping 朱香平,LING Zong-cheng 凌宗成,ZHANG Jiang 张江,LI Yun 李芸,QIAN Mao-cheng 钱茂程

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When Convolutional Neural Networks Meet Laser-Induced Breakdown Spectroscopy: End-to-End Quantitative Analysis Modeling of ChemCam Spectral Data for Major Elements Based on Ensemble Convolutional Neural Networks;Remote Sensing;2023-07-06

2. 基于激光诱导击穿光谱技术的录井岩屑多元素定量分析方法（特邀）;ACTA PHOTONICA SINICA;2023

3. A hybrid wavelength selection strategy-based quantitative analysis model for LIBS data from standard ground samples of the Curiosity rover on Mars;Journal of Analytical Atomic Spectrometry;2022

4. 基于远程激光诱导击穿光谱技术的航空合金鉴别;ACTA PHOTONICA SINICA;2021

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