Raman mineral recognition method based on all-optical diffraction deep neural network

Xu Zhang; Mingxin Yu; Lianqing Zhu; Yanlin He; Guangkai Sun

doi:10.3788/IRLA20200221

Infrared and Laser Engineering, Volume. 49, Issue 10, 20200221(2020)

Raman mineral recognition method based on all-optical diffraction deep neural network

Xu Zhang, Mingxin Yu, Lianqing Zhu, Yanlin He, and Guangkai Sun

Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing 100016, China

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Equations(4)

${w}_{i}^{l}\left(x,y,z\right)=\dfrac{z-{z}_{i}}{{r}^{2}}\left(\dfrac{1}{2\ {\text{π}} r}+\dfrac{1}{j\lambda }\right){\rm{exp}}\left(\dfrac{\rm j2\ {\text{π}} r}{\lambda }\right)$

(1)

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$ \begin{split} {n}_{i}^{l}\left(x,y,z\right)= &{w}_{i}^{l}\left(x,y,z\right) \cdot {t}_{i}^{l}\left({x}_{i},{y}_{i},{z}_{i}\right) \cdot\\ & {\displaystyle\sum }_{k}^{}{n}_{k}^{l-1}\left({x}_{i},{y}_{i},{z}_{i}\right) =\\ & {w}_{i}^{l}(x,y,z) \cdot \left|A\right| \cdot {\rm e}^{\rm j\Delta \theta } \end{split}$

(2)

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$\left\{ {\begin{array}{*{20}{c}} {n_{i,p}^l = w_{i,p}^l \cdot t_i^l \cdot m_i^l}\\ {m_i^l = \displaystyle\mathop \sum \nolimits_k n_{k,i}^{l - 1}}\\ {t_i^l = a_i^l{\rm{exp}}\left( {\rm j\phi _i^l} \right)} \end{array}} \right. $

(3)

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$ H\left( {p,q} \right) = - \mathop \sum \nolimits_x p\left( x \right){\rm{{log}}}{q}\left( x \right) $

(4)

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Xu Zhang, Mingxin Yu, Lianqing Zhu, Yanlin He, Guangkai Sun. Raman mineral recognition method based on all-optical diffraction deep neural network[J]. Infrared and Laser Engineering, 2020, 49(10): 20200221

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Paper Information

Category: Photoelectric measurement

Received: Apr. 10, 2020

Accepted: --

Published Online: Jul. 6, 2021

The Author Email:

DOI:10.3788/IRLA20200221

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology