A neural network approach to cloud classification from multi-temporal satellite imagery
Lewis, H.G., Cote, S. and Tatnall, A.R.L. (1995) A neural network approach to cloud classification from multi-temporal satellite imagery. In, Fourth International Conference on Artificial Neural Networks. Piscataway, USA, Institute of Electrical and Electronics Engineers, 116-121.
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Description/Abstract
In response both to the general lack of automatic methods to analyse the increasing amount of satellite data, and to the availability of multi-temporal information at high temporal resolution (e.g. Meteosat, 30 minutes), a new artificial neural network (ANN) method for classifying clouds has been developed. A recently developed cloud tracking method, utilising a Hopfield neural network, is used to acquire new dynamic cloud parameters from satellite image sequences. These parameters are analysed, and their contribution towards accurate classification is discussed
| Item Type: | Book Section |
|---|---|
| ISBNs: | 0852966415 (hardback) |
| Related URLs: | |
| Subjects: | T Technology > T Technology (General) G Geography. Anthropology. Recreation > G Geography (General) Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | University Structure - Pre August 2011 > School of Engineering Sciences |
| Item ID: | 23742 |
| Date Deposited: | 14 Feb 2007 |
| Last Modified: | 02 Mar 2012 11:26 |
| Contributors: | Lewis, H.G. (Author) Cote, S. (Author) Tatnall, A.R.L. (Author) |
| Date: | 1995 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers |
| URI: | http://eprints.soton.ac.uk/id/eprint/23742 |
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