Vegetation Image as Bayesian Predictor for Radio Propagation in Complex Environments Using Unscented Transform

Vegetation Image as Bayesian Predictor for Radio Propagation in Complex Environments Using Unscented Transform

Abstract Vegetation is considered a complex environment for analysis of scattering and attenuation in radio propagation phenomena. Satellite image processing can improve planning of radio systems with a vegetation attenuation predictor. In this research, the prediction is based on the correlation of...

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Bibliographic Details
Main Authors: Alexandre J. F. Loureiro, Leonardo R.A.X. Menezes, Glaucio L. Ramos, Paulo T. Pereira, Mateus H. B. Rezende
Format: Article
Language:English
Published: Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
Series:Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Subjects:
Bayes Theorem
Centimeter Wave
Unscented Transform
Vegetation Propagation measurements
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742018000200284&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742018000200284&lng=en&tlng=en

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