This paper discusses the application of artificial neural networks (ANNs) to the detection of oil spills in sea clutter environments from the classification of radar backscatter signals. A comparison and evaluation of different network architectures regarding reliability of dection and robustness to varying sea states/wind conditions shows that for this problem best results are achieved with a recurrent architecture similar to that of Elman's SRN.
HS-IDA-TR-95-009
Annotation: In Keating, John G. (ed.) Neural Computing - Research and Applications - Prodeedings of the Fifth Irish Neural Network Conference, St. Patrick's College, Maynooth, Co. Kildare, Ireland.