An algorithm for segmentation of aerosol inhomogeneities
| Autor: | M. L. Belov, Pavel Filimonov, Sergey Ivanov, Yu. V. Fedotov, V. A. Gorodnichev |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
business.industry Pattern recognition digital image processing lcsh:Q350-390 01 natural sciences Atomic and Molecular Physics and Optics Computer Science Applications Aerosol 010309 optics surface laye 0103 physical sciences lcsh:Information theory lcsh:QC350-467 Environmental science Segmentation aerosol inhomogeneities Artificial intelligence Electrical and Electronic Engineering business Physics::Atmospheric and Oceanic Physics lidar lcsh:Optics. Light 0105 earth and related environmental sciences |
| Zdroj: | Компьютерная оптика, Vol 42, Iss 6, Pp 1062-1067 (2018) |
| ISSN: | 2412-6179 0134-2452 |
| DOI: | 10.18287/2412-6179-2018-42-6-1062-1067 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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