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IMAGE PROCESSING, PATTERN RECOGNITION
An algorithm for measuring wind speed based on sampling aerosol inhomogeneitie
P. A. Filimonov, M. L. Belov, S. E. Ivanov, V. A. Gorodnichev, Yu. V. Fedotov Research institute of radioelectronics and laser technologies of Bauman Moscow State Technical University, Russia
Abstract:
A digital image processing algorithm based on sampling aerosol inhomogeneities was developed in the applied problem of laser remote sensing for measuring the velocity of wind. Tests of the developed algorithm were conducted for synthetic data from numerical simulations and data measured by a lidar. The algorithm developed performs processing of the field of aerosol backscattering coefficient in “Range-Time” coordinates and sufficiently increases the measurement accuracy in comparison with correlation methods.
Keywords:
discrete optical signal processing, digital image processing, lidar, algorithms.
Received: 28.02.2020 Accepted: 20.05.2020
Citation:
P. A. Filimonov, M. L. Belov, S. E. Ivanov, V. A. Gorodnichev, Yu. V. Fedotov, “An algorithm for measuring wind speed based on sampling aerosol inhomogeneitie”, Computer Optics, 44:5 (2020), 791–796
Linking options:
https://www.mathnet.ru/eng/co849 https://www.mathnet.ru/eng/co/v44/i5/p791
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Abstract page: | 65 | Full-text PDF : | 25 | References: | 15 |
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