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A technique called iterative reduced class growing (IRCG) is presented which automatically generalises raster thematic maps derived from classified satellite images for input to geographical information systems (GIS). This involves a two-stage iterative process which significantly reduces visual complexity and also maintains correct land use class area statistics. Iterative majority filtering (IMF) is described and issues affecting convergence, such as oscillation and deadlock, are outlined.

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Authors: WILKINSON G G, JRC Ispra (IT)
Bibliographic Reference: Article: Geo-Informations-Systeme, Vol. 6 (1993) No. 5, pp. 24-29
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