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.
Highlights
Разработан алгоритм на основе сэмплирования аэрозольных неоднородностей для обработки изображений в задаче лидарного измерения скорости ветра в атмосфере
An algorithm for measuring wind speed based on sampling aerosol inhomogeneities
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
Summary
Разработан алгоритм на основе сэмплирования аэрозольных неоднородностей для обработки изображений в задаче лидарного измерения скорости ветра в атмосфере. Алгоритм на основе сэмплирования аэрозольных неоднородностей в задаче измерения скорости ветра / П.А. Представим осреднённую за время и диапазон дальности измерения продольную компоненту скорости ветра как среднюю скорость перемещения аэрозольных неоднородностей:
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