Particle-shape classification using light scattering: An exercise in deep learning-Reference-Cited by-同舟云学术

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Particle-shape classification using light scattering: An exercise in deep learning

Published:2019-07 Issue: Volume:231 Page:140-156
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

Piedra Patricio,Kalume Aimable,Zubko Evgenij,Mackowski Daniel,Pan Yong-Le,Videen Gorden

Funder

National Research Council

U.S. Army Research Laboratory

Publisher

Elsevier BV

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Radiation

Reference44 articles.

1. Determination of the size of irregular particles using interferometric out-of-focus imaging;Brunel;International Journal of Optics,2014

2. Elastic back-scattering patterns via particle surface roughness and orientation from single trapped airborne aerosol particles;Fu;Journal of Quantitative Spectroscopy & Radiative Transfer,2017

3. Two-dimensional angular optical scattering for the characterization of airborne microparticles;Holler;Optics Letters,1998

4. Multivariate analysis and classification of two-dimensional angular optical scattering patterns from aggregates;Holler;Applied Optics,2004

5. Interferometric particle imaging of ice particles using a multi-view optical system;Talbi;Applied Optics,2018

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