Application of artificial neural networks for the analysis of multispectral images

Alies, M.Y., Antonov, E.A., Zaripov, M.R., Kalugin, A.I.

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Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Альес М.Ю., Антонов Е.А., Калугин А.И., Зарипов М.Р. Применение искусственных нейронных сетей для анализа мультиспектральных изображений // Оптический журнал. 2021. Т. 88. № 8. С. 48–53. http://doi.org/10.17586/1023-5086-2021-88-08-48-53

Alies M.Yu., Antonov E.A., Kalugin A.I., Zaripov M.R. Application of artificial neural networks for the analysis of multispectral images [in Russian] // Opticheskii Zhurnal. 2021. V. 88. № 8. P. 48–53. http://doi.org/10.17586/1023-5086-2021-88-08-48-53

For citation (Journal of Optical Technology):

M. Yu. Alies, E. A. Antonov, A. I. Kalugin, and M. R. Zaripov, "Application of artificial neural networks for the analysis of multispectral images," Journal of Optical Technology. 88(8), 441-444 (2021). https://doi.org/10.1364/JOT.88.000441

Abstract:

A model of a multispectral camera that can capture images at five wavelengths—532, 612, 780, 850, and 940 nm—is designed and fabricated. The obtained multispectral images are analyzed. Algorithms of artificial neural network operation in the processing of multispectral images are discussed. A convolutional neural network for identification and classification of multispectral images in real-time is developed.

Keywords:

multispectral images, convolutional neural networks, image analysis, image classification, machine learning

Acknowledgements:

This study was conducted within the research project of Udmurt Federal Research Center of the Ural Branch of the Russian Academy of Sciences “Artificial intelligence in design, training, and support of expert systems for presentation and utilization of knowledge in scientific, technical, and socio-humanistic fields” AAAA-A19-119092690104-4.

The authors are grateful to U. A. Efimova and G. M. Sharanova for their technical assistance in this study.

OCIS codes: 110.4234, 110.2960, 100.4996

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