Classification of sea ice types from ScanSAR RADARSAT images using pulse-coupled neural networks

Pulse-coupled neural networks (PCNN) are used for classifying sea ice in the Baltic Sea based on RADARSAT SAR images. The PCNN-classification is improved by computing additional features from the image and defining some rules to split and merge the preliminary classification produced by PCNN.