Hard problem of cartographic pattern recognition in fine scale1 maps, using information that comes from coarse scale2 maps, is considered. The maps are raster-scanned color maps of different thematic, representing the same territory in coarse and fine scale respectively. A solution called Coarse-to-Fine Scale Method is proposed. This method is defined in terms of means: coarse scale maps and their information; concepts: image associated function, cartographic knowledge domain and cartographic pattern; and tools: a set of clustering criteria of the Logical Combinatorial Pattern Recognition. © Springer-Verlag 2004.
CITATION STYLE
González-Gómez, E., & Levachkine, S. (2004). Color cartographic pattern recognition using the coarse to fine scale method. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3287, 533–540. https://doi.org/10.1007/978-3-540-30463-0_67
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