Content
Number of images - 9
Tables and charts - 0
Development of a Hyperspectral System with Controlled Spectral, Spatial, and Radiometric Resolution L&E, Vol.30, No.5, 2022

Light & Engineering 30 (5)

Volume 30
Date of publication 10/25/2022
Pages 31–39

Purchase PDF - ₽450

Development of a Hyperspectral System with Controlled Spectral, Spatial, and Radiometric Resolution L&E, Vol.30, No.5, 2022
Articles authors:
Vladimir V. Shipko, Vitold E. Pozhar, Alexander S. Machikhin, Ivan A. Balandin, Sergey M. Borzov, Alexander V. Lushchik, Alexander V. Kiselev

Vladimir V. Shipko, Ph. D. In 2008, he graduated from Zhukovsky VVIA. At present, he is the Doctoral student of Air Force Military Training Centre VVS “VVA named after Professor N.E. Zhukovsky and Yu.A. Gagarin”. His research interests are remote sensing and digital image processing

Vitold E. Pozhar, Doctor of Phys.-Math. Sciences. He graduated from Moscow Institute of Physics and Technology in 1981. Now he is head of the Acousto-optic Information System Department of the STC UI RAS, Professor of the Bauman Moscow State Technical University and Moscow Engineering Physics Institute. His research interests are acoustooptics, spectrometry, differential, modulation, adaptive spectroscopy, hyper spectrometry, remote sensing, and spectral instrument engineering

Alexander S. Machikhin, Doctor of Technical Sciences. In 2007, he graduated from N.E. Bauman MSTU. At present, he is senior research scientist of STC UI RAS. Research interests: instrument engineering, non-destructive testing, acousto-optics, biomedical optics

Ivan A. Balandin,engineer. In 2021, he graduated from N.E. Bauman MSTU. At present he is postgraduate student of STC UI RAS. His research interests: acousto-optic spectroscopy

Sergey M. Borzov, Ph. D. in Tech. Sc. In 1984, he graduated from Novosibirsk State University. At present, he is a Head of the Laboratory of Information Optics, IA&E SB RAS. His research interests: digital image processing, object detection and classification

Alexander V. Lushchik, Ph. D. in Tech. Sc., Associate Professor. Graduated in 1993 from Kharkov VVAIU. He is Associate Professor of the 92nd Department of the VUNC VVS “VVA named after N.E. Zhukovsky and Yu.A. Gagarin”. His research interests: automation of control systems

Alexander V. Kiselev, engineer. He graduated in 1981 from the Frunze Polytechnic Institute. At present, he is a lecturer at the 92nd Department of the VUNC VVS “VVA named after N.E. Zhukovsky and Yu.A. Gagarin”. His research interests: diagnostics of digital devices

Abstract:
An approach to the construction of a hyperspectral system is proposed and justified, providing control of spectral, spatial, and radiometric (brightness) resolution, which opens up the possibility of hyperspectral monitoring of objects with limited computing resources and bandwidth of the video data transmission channel. Spectral resolution control is supposed to be carried out on the basis of tuneable, software-controlled acousto-optic filters, spatial resolution control – based on modern CMOS matrix technologies with the “active pixel” function, digitalization control of the images obtained – based on the developed analogy-to-digital converter with tuneable quantization level. Modelling using experimental data has shown the possibility of implementing a sufficiently reproducible classification of hyperspectral images with a decrease in their spectral, spatial, and radiometric resolutions.
References:
1. Vinogradov, A.N., Egorov, V.V., Kalinin, A.P., Rodionov, A.I., Rodionov, I.D. Line of aviation hyper-spectrometers of the ultraviolet, visible, and near infrared ranges // Optical Journal, 2016, Vol. 88, # 4, pp. 54–62.
2. Pozhar, V.E., Machikhin, A.S., Gaponov, M.I., Shirokov, C.V., Mazur, M.M., Sheryshev, A.E. Hyper-spectrometer Based on an Acousto-Optic Tuneable Filters for UAVS // Light & Engineering J. 2019, # 4, pp. 47–50.
3. Mazur, M.M., Pozhar, V.E. Spectrometers on acousto-optic filters // Measuring technique, 2015, # 9, pp. 29–33.
4. Mazur, M.M., Suddenok, Yu.A., Pozhar, V.E. Multi-window acousto-optic filters for correlation spectroscopy // Optics and spectroscopy J. 2020, Vol. 128, # 2, pp. 284–289.
5. Pozhar, V.E., Velikovsky, D. Yu. Spectral recognition of objects using multi-window acousto-optic filters // Optics and spectroscopy, 2020, Vol. 128, # 7, pp. 1035–1041.
6. Gorbachev, A.A., Korotaev, V.V., Yaryshev, S.N. Solid-state matrix photo converters and cameras based on them / St. Petersburg: ITMO Research Institute, 2013, 98 p.
7. Balakshiy, V.I., Parygin, V.N., Chirkov, L.E. Physical foundations of acoustic optics / Moscow: Radio and Communications, 1985, 279 p.
8. Wu, H., Haibach, F.G., Bergles, E., Qian, J., Zhang, Ch., Yang, W. Miniaturized handheld hyperspectral imager // Proc. SPIE, 2014, Vol. 9101, 91010W.
9. Hu, P., Lu, Q., Shu, R., Wang, J. An airborne push broom hyperspectral imager with wide field of view // Chinese optics letters, 2005, Vol. 3, # 12, pp. 689–691.
10. Saari, H., Pölönen, I., Salo, H., et al. Miniaturized hyperspectral imager calibration and UAV flight campaigns // 2013, Proc. SPIE, Vol. 8889, 88891O.
11. Lucey, P.G., Akagi, J.T., Hinrichs. J.L., Crites, S.T., Wright, R. A long-wave infrared hyperspectral sensor for Shadow class UAVs // Proc. SPIE, 2013. V. 8713, 87130D.
12. Downing, J., Harvey, A.R. Multi-aperture hyperspectral imaging // OSA Technical Digest (online) (Optical Society of America, 2013) https://doi.org/10.1364/AIO.2013.JW2B.2.
13. Mitchell, P.A. Hyperspectral digital imagery collection experiment HYDICE // Proc. SPIE, 1995, Vol. 2587, pp. 70–95.
14. https://aviris.jpl.nasa.gov/aviris (2022).
15. Berezin, V.V., Umbitaliev, A.A., Fahmi, S.S., Tsitsulin, A.K., N.N. Shipilov, N.N. Edited by Umbita liev A.A. and Tsitsulin, A.K. Solid-state revolution in television: Television parameters based on charge-coupled devices, systems on a crystal and video systems on a crystal / Moscow: Radio and communication, 2006.
16.Yakubovsky, S.V., Nisselson, L.I., Kuleshova, V.I., et al.; edited by Yakubovsky, S.V. Digital and analog integrated circuits: Handbook / Moscow: Radio and Communications, 1990. 496p.
17. Brindley, K., Carr, J. Pocket handbook of an electronic engineering engineer / Translated from English 2nd ed., ster. Moscow: Publishing House “Dodeka–XXI”, 2005, 480 p.
18. Del Aguila, A., Efremenko, D.S., Trautmann, T. A Review of Dimensionality Reduction Techniques for Processing Hyper-Spectral Optical Signal // Light & Engineering J. 2019, # 3. pp. 85–98.
19. Borzov, S.M., Potaturkin O.I. The choice of an informative system of features in the classification of agricultural crops by hyperspectral data // Autometry, 2020, Vol. 56, # 4, pp. 134–144.
Keywords

Buy

Recommended articles