DocumentCode
2487990
Title
Use of Neural Network for Turbulence and Precipitation Classification Procedure
Author
Ostrovsky, Y.P. ; Yanovsky, F.J.
Author_Institution
Dept. of Aero Navigation Syst., National Aviation Univ., Kiev
fYear
0
fDate
0-0 0
Firstpage
161
Lastpage
163
Abstract
This paper describes a methodology of precipitation and turbulence classification based on radar echo signal features measured by polarimetric radar. A neural network classifier is used to distinguish between different precipitation and turbulence classes. The classification procedure takes a decision about the type of precipitation and turbulence intensity by simultaneous feature consideration. In this paper the turbulence classification using multi-parametric decision technique is described
Keywords
echo; neural nets; precipitation; radar polarimetry; radar signal processing; remote sensing by radar; turbulence; multiparametric decision; neural network; polarimetric radar; precipitation classification; radar echo signal features; turbulence classification; Data processing; Meteorological radar; Neural networks; Radar detection; Radar measurements; Radar polarimetry; Rain; Reflectivity; Shape; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Mathematical Methods in Electromagnetic Theory, 2006 International Conference on
Conference_Location
Kharkiv
Print_ISBN
1-4244-0490-8
Type
conf
DOI
10.1109/MMET.2006.1689731
Filename
1689731
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