DocumentCode :
2371562
Title :
Algorithms for object recognition by weather radar
Author :
Yanovsky, Felix ; Ostrovsky, Yaroslav ; Marchuk, Vitaly
Author_Institution :
Nat. Aviation Univ., Kiev
fYear :
2008
fDate :
21-23 May 2008
Firstpage :
1
Lastpage :
4
Abstract :
This paper briefly describes new methodology of precipitation classification and turbulence detection. Proposed method is based on neural network and does not require traditional calculations. Neural network is very flexible in its nature and can be adapted very easily to new requirements. This allows reduction of calculation time and can be successfully used in warning system of airborne systems etc.
Keywords :
airborne radar; image classification; meteorological radar; neural nets; object recognition; radar computing; airborne systems; calculation time reduction; neural network; object recognition; precipitation classification; turbulence detection; warning system; weather radar; Data mining; Doppler radar; Meteorological radar; Neural networks; Object recognition; Radar applications; Radar detection; Radar measurements; Radar polarimetry; Rain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium, 2008 International
Conference_Location :
Wroclaw
Print_ISBN :
978-83-7207-757-8
Type :
conf
DOI :
10.1109/IRS.2008.4585761
Filename :
4585761
Link To Document :
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