Neural networks and cloud classification

Patrick Walder; Iain MacLaren; Carol Reid

doi:10.1117/12.196704

30 December 1994 Neural networks and cloud classification

Patrick Walder, Iain MacLaren, Carol Reid

Proceedings Volume 2315, Image and Signal Processing for Remote Sensing; (1994) https://doi.org/10.1117/12.196704
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

The development of an efficient and accurate automated cloud classification method for use on satellite Images will be of great benefit to operational meteorology and climate studies. We have examined the possible use of neural networks as a classification tool for spectral and textural data extracted from Meteosat images. A large number of back-propagation neural network configurations were run and many were found to be highly effective, outperforming more traditional statistical classifiers. A Kohonen type competitive learning network was also tried, but was found to be considerably less successful on this data set. Some suggestions are made for future development based on the experience gained in this project.

Citation Download Citation

Patrick Walder, Iain MacLaren, and Carol Reid "Neural networks and cloud classification", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196704

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