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IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)
In this paper we describe the fusion of various data and knowledge sources for intelligent SAR sea ice classification, thereby addressing the weaknesses of each information source while improving the overall reasoning power of the classifier. We equip our ice classification system, ARKTOS, with the capability of analyzing and classifying images unsupervised by emulating how a human geophysicist or photo-interpreter classifies SAR images. To imitate human visual inspection of raw images, we havedoi:10.1109/igarss.1999.773403 fatcat:7uckdwcmurbujnxr2kxzt4zcsm