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
Link To Document :
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