Luttrell S P, September 1988, Image compression using a neural network, Proceedings of International Geoscience and Remote Sensing Symposium on Remote Sensing: Moving Towards the 21st Century (Edinburgh, UK), (, ed. ), vol. , pp. 1231-1238
Data compression of speckled images poses a non-trivial model identification problem. We train an unsupervised neural network on a set of archetype images in order to form an internal representation (or model) of the image features. We find that a multi-layer topographic mapping network has the necessary properties successfully to compress and reconstruct imagery. We show how to extend and improve upon existing learning algorithms for this type of network, and we express the network learning dynamics as a diffusion equation. We then present some examples of the application of this technique to synthetic aperture radar images.