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