NEUROSAT: an overview


This report gives an overview of the work being carried out, as part of the NEUROSAT project, in the Neural Computing Research Group at Aston University. The aim is to give a general review of the work and methods, with reference to other documents which provide the detail. The document is ongoing and will be updated as parts of the project are completed. Thus some of the references are not yet present. In the broadest sense, the Aston part of NEUROSAT is about using neural networks (and other advanced statistical techniques) to extract wind vectors from satellite measurements of ocean surface radar backscatter. The work involves several phases, which are outlined below. A brief summary of the theory and application of satellite scatterometers forms the first section. The next section deals with the forward modelling of the scatterometer data, after which the inverse problem is addressed. Dealiasing (or disambiguation) is discussed, together with proposed solutions. Finally a holistic framework is presented in which the problem can be solved.

Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Uncontrolled Keywords: neural networks,statistical techniques,satellite measurements,ocean surface radar,backscatter,holistic framework
ISBN: NCRG/98/011
Last Modified: 08 Jul 2024 08:31
Date Deposited: 16 Sep 2009 13:40
PURE Output Type: Technical report
Published Date: 1998
Authors: Cornford, Dan (ORCID Profile 0000-0001-8787-6758)
Nabney, Ian T. (ORCID Profile 0000-0003-1513-993X)


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