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An algorithm for measuring wind speed based on sampling aerosol inhomogeneities
P.A. Filimonov1, M.L. Belov1, S.E. Ivanov1, V.A. Gorodnichev1, Yu.V. Fedotov1

1 Research institute of radioelectronics and laser technologies of Bauman Moscow State Technical University, Russia

 PDF, 1415 kB

DOI: 10.18287/2412-6179-CO-708

Pages: 791-796.

Full text of article: Russian language.

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.

Citation:
Filimonov PA, Belov ML, Ivanov SE, Gorodnichev VA, Fedotov YV. An algorithm for measuring wind speed based on sampling aerosol inhomogeneities. Computer Optics 2020; 44(5): 791-796. DOI: 10.18287/2412-6179-CO-708.

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