Neural networks for oil spill detection using ERS-SAR data

A neural network approach for semi-automatic detection of oil spills in Eur opean remote sensing satellite-synthetic aperture radar (ERS-SAR) imagery i s presented, The network input is a vector containing the values of a set o f features characterizing an oil spill candidate. The classification perfor mance of the algorithm has been evaluated on a data set containing verified examples of oil spill and look-alike, A direct analysis of the information content of the calculated features has been also carried out through an ex tended pruning procedure of the net.