This paper reports on the results of a project investigating the potential of applying artificial neural networks to the problem of detecting oil spills on basis of the radar backscatter signals from a sea clutter environment illuminated by a Doppler radar. Recurrent backpropagation models which were found to exhibit satisfactory performance, superior to that of feed-forward networks, are discussed and analysed in particular.
HS-IDA-TR-95-002
Annotation: In Niklasson & Boden (eds.) Current Trends in Connectionism-Proceedings of the Swedish Conference on Connectionism - 1995, pp. 355 - 370, Lawrence Erlbaum Associates.