Abstract
Semantic analysis of cartographic images is interpreted as a separate representation of cartographic patterns (alphanumeric, punctual, linear, and area). We present an approach to map interpretation exploring the idea of synthesis of invariant graphic images at low level processing (vectorization and segmentation). This means that we ran “vectorization-recognition” and “segmentation-interpretation” systems simultaneously. Although these systems can generate some errors in interpretation, they are much more useful for the following understanding algorithms because its output is nearly recognized objects of interest.
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Levachkine, S., Velàzquez, A., Alexandrov, V., Kharinov, M. (2002). Semantic Analysis and Recognition of Raster-Scanned Color Cartographic Images. In: Blostein, D., Kwon, YB. (eds) Graphics Recognition Algorithms and Applications. GREC 2001. Lecture Notes in Computer Science, vol 2390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45868-9_15
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DOI: https://doi.org/10.1007/3-540-45868-9_15
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