DocumentCode :
1942861
Title :
First results from remote sensing of the atmosphere using artificial neural networks
Author :
Mudroch, Martin ; Pechac, Pavel ; Grabner, Martin ; Kvicera, Vaclav
Author_Institution :
Dept. of Electromagn. Field, Czech Tech. Univ. in Prague, Prague
fYear :
2009
fDate :
23-27 March 2009
Firstpage :
1419
Lastpage :
1422
Abstract :
This document presents first results from remote sensing of atmosphere using data gathered within an unique experiment combined with artificial neural network data processing. Extended methods of data evaluation are presented and its suitability for refractivity height profiles estimations is also shown.
Keywords :
neural nets; remote sensing; artificial neural networks; atmosphere; remote sensing; Artificial neural networks; Atmospheric waves; Electromagnetic propagation; Poles and towers; Radio transmitters; Rain; Refractive index; Remote sensing; Sea measurements; Terrestrial atmosphere;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation, 2009. EuCAP 2009. 3rd European Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-4753-4
Electronic_ISBN :
978-3-00-024573-2
Type :
conf
Filename :
5067880
Link To Document :
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