DocumentCode
2329601
Title
Classification algorithms for weather radar
Author
Yanovsky, Felix ; Marchuk, Vitaly ; Ostrovsky, Yaroslav ; Averyanova, Yulia
Author_Institution
Nat. Aviation Univ., Kiev
fYear
2008
fDate
June 29 2008-July 2 2008
Firstpage
366
Lastpage
368
Abstract
Theory, measurements, and signal processing applying to the radar remote sensing of weather objects are considered. Algorithms for hydrometeor type and turbulence intensity recognition are developed and analyzed. Particularly, fuzzy logic and neural network approaches are applied for weather radar signal processing.
Keywords
atmospheric turbulence; fuzzy logic; meteorological radar; neural nets; object recognition; radar signal processing; remote sensing by radar; signal classification; classification algorithms; fuzzy logic; hydrometeor type recognition; neural network; radar remote sensing; radar signal processing; signal processing; turbulence intensity recognition; weather objects; weather radar; Classification algorithms; Data mining; Fuzzy logic; Meteorological radar; Neural networks; Neurons; Radar measurements; Radar polarimetry; Rain; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Mathematical Methods in Electromagnetic Theory, 2008. MMET 2008. 12th International Conference on
Conference_Location
Odesa
Print_ISBN
978-1-4244-2284-5
Type
conf
DOI
10.1109/MMET.2008.4580996
Filename
4580996
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