This article is cited in 3 papers

IMAGE PROCESSING, PATTERN RECOGNITION

An algorithm for segmentation of aerosol inhomogeneities

P. A. Filimonov^a, M. L. Belov^b, Yu. V. Fedotov^b, S. E. Ivanov^b, V. A. Gorodnichev<sup>b

a</sup> Graduate school of Bauman Moscow State Technical University, Moscow, Russia
^b Research Institute of Radioelectronics and Laser Technologies of Bauman Moscow State Technical University, Moscow, Russia

Abstract: We have developed an algorithm for segmentation of aerosol inhomogeneities in the registered field of lidar signal fluctuations in the atmosphere in the "Range – Time" coordinates that is based on a sliding window of a two-dimensional autocorrelation function. The obtained algorithm allows us to robustly detect aerosol inhomogeneities, which can be used in practical applications to study aerosol fields in the atmosphere and improve the accuracy of estimating the speed and direction of winds. The developed method was applied for obtaining a histogram of aerosol inhomogeneity-size distribution from 355-nm elastic lidar measurements data in the surface layer.

Keywords: digital image processing, lidar, aerosol inhomogeneities, surface laye.

Received: 14.03.2018
Accepted: 12.05.2018

DOI: 10.18287/2412-6179-2018-42-6-1062-1067