Abstract
A fuzzy spatial data mining technique has been developed to extract relationships describing relative position of classes of objects from raster images. Several different rule forms are described which represent different types of directional relationships between classes of objects. The method has been tested with hand-generated, synthetic, and sonar imagery.
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Smith, G. B., & Bridges, S. M. (2002). Fuzzy spatial data mining. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (Vol. 2002-January, pp. 184–189). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NAFIPS.2002.1018052
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