A Neurofuzzy Analysis of Cloud Motion from Satellite Imagery
A Neurofuzzy Analysis of Cloud Motion from Satellite Imagery
This report describes the first six months of study into satellite imagery processing using neurofuzzy methods. It proposes the generation of wind information from multitemporal, multispectral satellite imagery using such methods, assisted by novel image pre- and post-processing. The various data sources are considered in terms of the information they contain, the accuracy limitations and the sources of noise. The current advanced techniques for deriving satellite cloud motion winds (CMWs) are then outlined and the areas for improvement discussed. Intelligent image processing is described and considered in terms of the new information it addresses. The problem of wind vector generation is broken down into sub-tasks for discussion within the context of neural, fuzzy and novel image processing techniques. An approximate timetable for the next few months proposed study is given.
Newland, F.T.
e1b8f8f6-f064-4cd9-bdab-abdb38fe3054
April 1996
Newland, F.T.
e1b8f8f6-f064-4cd9-bdab-abdb38fe3054
Newland, F.T.
(1996)
A Neurofuzzy Analysis of Cloud Motion from Satellite Imagery
Record type:
Monograph
(Project Report)
Abstract
This report describes the first six months of study into satellite imagery processing using neurofuzzy methods. It proposes the generation of wind information from multitemporal, multispectral satellite imagery using such methods, assisted by novel image pre- and post-processing. The various data sources are considered in terms of the information they contain, the accuracy limitations and the sources of noise. The current advanced techniques for deriving satellite cloud motion winds (CMWs) are then outlined and the areas for improvement discussed. Intelligent image processing is described and considered in terms of the new information it addresses. The problem of wind vector generation is broken down into sub-tasks for discussion within the context of neural, fuzzy and novel image processing techniques. An approximate timetable for the next few months proposed study is given.
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Published date: April 1996
Additional Information:
Address: Department of Electronics and Computer Science
Organisations:
Electronics & Computer Science
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Local EPrints ID: 250021
URI: http://eprints.soton.ac.uk/id/eprint/250021
PURE UUID: 7f01f221-6426-41ca-a060-4897ff9cf0b9
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Date deposited: 04 May 1999
Last modified: 20 Feb 2024 18:07
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Author:
F.T. Newland
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