A Neurofuzzy Analysis of Cloud Motion from Satellite Imagery.
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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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