摘要

光谱仪器采集光谱数据时, 散射噪声会对光谱数据产生影响。同一种矿物质在不同颗粒度和浓度状态下的光谱数据曲线会产生偏移, 进而降低光谱数据的匹配精度。针对这一问题, 研究了基于多元散射校正融合增广拉格朗日消除光谱数据散射噪声和偏移的方法, 先用该方法对光谱数据预处理进行校正, 再结合光谱角方法进行相似度匹配测量。实验选取了6种矿物和6种壁画颜料作为光谱数据样本, 使用光谱匹配方法分别对原光谱数据和消除散射噪声和偏移后的光谱数据进行匹配计算和分析。实验结果表明, 使用多元散射校正融合增广拉格朗日方法消除散射噪声和偏移校正后的光谱数据匹配精度高于未校正的光谱数据, 因此该方法可提高识别效果。

Abstract

Scattering noise affects spectral data collected with spectral instruments. Spectral data curves measured for the same mineral species at different particle sizes and concentrations can produce an offset, which reduces the accuracy for matching the spectral data. To solve this problem, the present study reported a method based on the multi-scattering correction using merged augmented Lagrangian, in order to eliminate scattering noise and the resulting offset of spectral data; the method was firstly used accurate preprocessing, and then was used to similarity matching measurements combined with the spectral angles of the data. Six minerals and six pigments in the murals were selected as samples for the experiments. The spectral matching method was used to match and analyze the spectral data, which eliminated scattering noise and offset. Experimental results show that spectral data corrected using the proposed method are more accurately matched than uncorrected spectral data. In addition, the proposed method is more effective for mineral-species identification.

补充资料

中图分类号：O433.4

DOI：10.3788/lop56.022401

所属栏目：表面光学

基金项目：国家自然科学基金青年基金(61701388)、教育部归国留学人员科研扶持项目(K05055)、陕西省科技厅国际合作项目(2017KW-036)、陕西省自然科学基础研究计划项目(2018JM6080)、西安市科技局科技计划项目[2017079CG/RC042(XAKD0044)]

收稿日期：2018-07-04

修改稿日期：2018-07-26

网络出版日期：2018-08-02

作者单位    点击查看

联系人作者：王可(wk1307@yeah.net)

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引用该论文

Wang Zhan,Wang Ke,Wang Weichao. Scattering Noise Elimination Method for Improving Spectral Matching Accuracy[J]. Laser & Optoelectronics Progress, 2019, 56(2): 022401

王展,王可,王伟超. 提高光谱匹配精度的散射噪声消除方法[J]. 激光与光电子学进展, 2019, 56(2): 022401