Determination of spatial and temporal characteristics as an aid to neural network cloud classification
Lewis, H.G., Cote, S. and Tatnall, A.R.L. (1997) Determination of spatial and temporal characteristics as an aid to neural network cloud classification. International Journal of Remote Sensing, 18, (4), 899-915. (doi:10.1080/014311697218827).
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Previous studies of cloud classification from meteorological satellite imagery have shown that artificial neural networks (ANNs) perform as well as, or better than, statistical pattern recognition when multispectral features, supplemented with selected textural features, are used. These features, however, represent only a subset of the full range of features available in this imagery. Spatial characteristics based on the shape of clouds, and temporal characteristics, derived from image sequences, can be more direct pointers to cloud type. In this paper the methods for the determination of such parameters are described, some results are presented, and the effectiveness of the methods are discussed.
|Subjects:||T Technology > T Technology (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
|Date Deposited:||31 Jan 2007|
|Last Modified:||01 Jun 2011 01:55|
|Contributors:||Lewis, H.G. (Author)
Cote, S. (Author)
Tatnall, A.R.L. (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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