Abstract
In this paper, we describe the Fine-to-Coarse Scale Method in which the knowledge of cartographic patterns into small-scale map aids to recognize the corresponding patterns into large-scale map of the same territory. This approach exploits the user’s experience providing the knowledge domain in the form of the prescribed feature-attribute set. The cartographic patterns are presented in raster maps. A map is composed by thematic layers that contain cartographic patterns. The knowledge to recognize cartographic objects in raster fine scale maps is based on the information about the objects of the coarse scale map. These recognized objects are removed from the map, reaching a simplified representation of the map. Then, the rest of objects are recognized as new cartographic material in this simplified map. The goal of these representations is to obtain a GIS database.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Levachkine, S.P., Polchkov, E.A.: Integrated Technique for Automated Digitization of Raster Maps. Revista Digital Universitaria 1(1) (2000), Available on-line at http://www.revista.unam.mx/vol.1/art4/index.html
Levachkine, S.: Raster to Vector Conversion of Color Cartographic Maps. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 50–62. Springer, Heidelberg (2004)
Meyers, G.K., Chen, C.-H.: Verification-based Approach for Automated Text and Feature Extraction from Raster-scanned Maps. LNCS, vol. 1072, pp. 190–203. Springer, Heidelberg (1996)
Gonzalez-Gómez, E., Levachkine, S.: Color cartographic pattern recognition using the coarse to fine scale method. LNCS, vol. 3287, pp. 540–547. Springer, Heidelberg (2004)
Levachkine, S., Velázquez, A., Alexandrov, V., Kharinov, M.: Semantic Analysis and Recognition of Raster-scanned Color Cartographic Images. In: Blostein, D., Kwon, Y.-B. (eds.) GREC 2001. LNCS, vol. 2390, pp. 178–189. Springer, Heidelberg (2002)
Levachkine, S., Torres, M., Moreno, M., Quintero, R.: Knowledge-Based Method to Recognize Objects in Geo-Images. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3215, pp. 718–725. Springer, Heidelberg (2004)
Martínez-Trinidad, J.F., Guzmán-Arenas, A.: The Logical Combinatorial Approach to Pattern Recognition, an Overview through Selected Works. Pattern Recognition 34(1), 741–7519 (2001)
Torres-Ruiz, M., Levachkine, S.: Semantics Definition to Represent Spatial Data. In: Levachkine, S., Ruas, A., Bodansky, E. (eds.) Proc. International Workshop on Semantic Processing of Spatial Data (GEOPRO 2002), Mexico City, Mexico, December 3-4 (2002)
Lazo-Cortés, M., Ruiz-Shulcloper, J., Alba-Cabrera, E.: An Overview of the Evolution of the Concept of Testor. Pattern Recognition 34(4), 753–762 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Levachkine, S., Gonzalez, E., Torres, M., Moreno, M., Quintero, R. (2005). Knowledge-Based System for Color Maps Recognition. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_43
Download citation
DOI: https://doi.org/10.1007/11552413_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28894-7
Online ISBN: 978-3-540-31983-2
eBook Packages: Computer ScienceComputer Science (R0)