激光与光电子学进展, 2018, 55 (1): 013002, 网络出版: 2018-09-10
一种基于统计流形的光谱信息散度颜料识别方法 下载: 1183次
An Identification Method of Spectral Information Divergence Pigment Based on Statistical Manifold
光谱学 统计流形 光谱信息散度 黎曼度量 光谱反射率匹配 spectroscopy statistical manifold spectral information divergence Riemann metric spectral reflectance matching
摘要
每种物质都有其独特的光谱信息,因此可以根据光谱信息来鉴定物质。研究了基于统计流形的光谱信息散度颜料识别方法,将统计流形上的黎曼度量作为信息散度中新的度量标准。利用提出的新方法与传统光谱反射率匹配方法对4种常用矿物颜料进行光谱匹配,并将匹配结果进行比较。实验结果表明:利用基于统计流形的光谱信息散度方法,解决了概率变化量的几何度量问题,光谱信息匹配识别物质的精度得到了显著提高。
Abstract
Each substance has its own unique spectral information, so it is possible to identify substances based on spectral information. An identification method of spectral information divergence pigment based on statistical manifold is studied. The Riemann metric on the statistical manifold is used as a new metric in the information divergence. The spectral matching for four commonly used mineral pigments is carried out withutilization of the proposed method and traditional method, and the matching results are compared. The experimental results show that the method of spectral information divergence based on statistical manifold can solve the problem of geometric measurement of probability variation, and the accuracy of spectral information matching recognition is improved obviously.
王伟超, 王慧琴, 王可, 王展. 一种基于统计流形的光谱信息散度颜料识别方法[J]. 激光与光电子学进展, 2018, 55(1): 013002. Wang Weichao, Wang Huiqin, Wang Ke, Wang Zhan. An Identification Method of Spectral Information Divergence Pigment Based on Statistical Manifold[J]. Laser & Optoelectronics Progress, 2018, 55(1): 013002.