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dc.contributor.authorAlhumaidi, Sami M.
dc.contributor.authorJones, W. Linwood
dc.date.accessioned2017-10-05T13:08:56Z
dc.date.available2017-10-05T13:08:56Z
dc.date.issued1997-04-04
dc.identifier.citationAlhumaidi, S., & Jones, W. L. (1997). Neural network approach to the determination of the geophysical model function of the ERS-1 C-band spaceborne radar scatterometer. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 3077 594-599.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1744
dc.descriptionElectromagnetic wave scattering, Geophysics, Multilayers, Neural networks, Oceanography, Radar antennas, Satellites, Sensory perception, Space applications, Winden_US
dc.description.abstractGeophysical Model Functions (GMF) describing the relationship between the scatterometer normalized radar cross section (sigma-0) and useful geophysical parameters such as sea-surface wind vectors, wave heights, and sea- surface temperatures have been undergoing extensive research and development during the last decade. In this study, we investigate the use of two feed-forward neural networks, Multilayer Perceptron and Radial Basis Functions, for developing a useful and accurate representation of the C- band GMF. Collocated radar sigma-0 cells with global wind vector models were used as the database of the study. The resulting well-known biharmonic relationship between the sigma-0 and the relative azimuth angle between the scatterometer antenna beam azimuth and wind direction shows the excellent agreement between the neural network and previous results. The applicability of the neural techniques in this application are clearly presented and the potential for possible enhancement over previous approaches are discussed.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleNeural network approach to the determination of the geophysical model function of the ERS-1 C-band spaceborne radar scatterometeren_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.271521


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