Mr. Aleksey M. Belov Profile

Aleksey M. Belov

at Bauman Moscow State Technical University

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Author

Publications (5)

Proceedings Article | 17 October 2023 Paper

Evaluation of the hyperspectral monitoring method capabilities for forests areas

Michael Belov, Aleksey Belov, Victor Gorodnichev, Sergey Alkov, Aleksandr Shkarupilo

Proceedings Volume 12780, 127802Q (2023) https://doi.org/10.1117/12.2690227

KEYWORDS: Reflection, Vegetation, Neural networks, Mathematical modeling, LIDAR, Hyperspectral simulation, Environmental monitoring, Data modeling, Convolutional neural networks, Terrain classification

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Proceedings Article | 16 December 2021 Paper

Analysing laser reflection method capabilities to monitor forestland condition and species composition

Michael Belov, Aleksey Belov, Victor Gorodnichev, Sergey Alkov

Proceedings Volume 11916, 1191631 (2021) https://doi.org/10.1117/12.2602893

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Proceedings Article | 12 November 2020 Paper

Capability analysis of optical sensors for vegetation monitoring in different spectral bands

Michael Belov, Aleksey Belov, Victor Gorodnichev, Sergey Alkov

Proceedings Volume 11560, 1156037 (2020) https://doi.org/10.1117/12.2574748

KEYWORDS: Vegetation, Near infrared, Sensors, Optical sensors, MODIS, Mathematical modeling, Palladium, Protactinium, Active optics, Reflectivity

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Proceedings Article | 18 December 2019 Paper

Comparison between passive optical and laser reflection methods for vegetation monitoring at the eye-safe sensing wavelengths

Michael Belov, Aleksey Belov, Victor Gorodnichev, Sergey Alkov

Proceedings Volume 11208, 112083Q (2019) https://doi.org/10.1117/12.2540114

KEYWORDS: Vegetation, Laser optics, Near infrared, Ultraviolet radiation, Palladium, Protactinium, Infrared imaging, Mathematical modeling, Optical simulations, Atmospheric optics

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Proceedings Article | 13 December 2018 Paper

Laser reflection method applicability for vegetation monitoring at eye-safe sensing wavelengths

Michael Belov, Aleksey Belov, Victor Gorodnichev, Sergey Alkov

Proceedings Volume 10833, 108333Q (2018) https://doi.org/10.1117/12.2503729

KEYWORDS: Vegetation, Near infrared, Ultraviolet radiation, Remote sensing, Optical simulations, Soil science, Pollution, Sensing systems, Soil contamination, Palladium

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