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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Original Publication URL: http://dx.doi.org/10.1080/014311697218827

Description/Abstract

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.

Item Type: Article
ISSNs: 0143-1161 (print)
Related URLs:
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
ePrint ID: 23620
Date Deposited: 31 Jan 2007
Last Modified: 27 Mar 2014 18:12
URI: http://eprints.soton.ac.uk/id/eprint/23620

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