Knowledge-based system for color maps recognition

Serguei Levachkine; Efrén Gonzalez; Miguel Torres; Marco Moreno; Rolando Quintero

doi:10.1007/11552413_43

Knowledge-based system for color maps recognition

Serguei Levachkine, Efrén Gonzalez, Miguel Torres, Marco Moreno, Rolando Quintero

Centro de Investigación en Computación (CIC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Editorial	Springer Verlag
Páginas	297-303
Número de páginas	7
ISBN (versión impresa)	3540288945, 9783540288947
DOI	https://doi.org/10.1007/11552413_43
Estado	Publicada - 2005
Evento	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia Duración: 14 sep. 2005 → 16 sep. 2005

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	3681 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
País/Territorio	Australia
Ciudad	Melbourne
Período	14/09/05 → 16/09/05

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/11552413_43

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Levachkine, S., Gonzalez, E., Torres, M., Moreno, M., & Quintero, R. (2005). Knowledge-based system for color maps recognition. En Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (pp. 297-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI). Springer Verlag. https://doi.org/10.1007/11552413_43

Levachkine, Serguei ; Gonzalez, Efrén ; Torres, Miguel et al. / Knowledge-based system for color maps recognition. Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. pp. 297-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Serguei Levachkine and Efr{\'e}n Gonzalez and Miguel Torres and Marco Moreno and Rolando Quintero",

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Levachkine, S, Gonzalez, E, Torres, M , Moreno, M & Quintero, R 2005, Knowledge-based system for color maps recognition. En Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3681 LNAI, Springer Verlag, pp. 297-303, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 14/09/05. https://doi.org/10.1007/11552413_43

Knowledge-based system for color maps recognition. / Levachkine, Serguei; Gonzalez, Efrén; Torres, Miguel et al.
Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. p. 297-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Moreno, Marco

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N2 - 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.

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Levachkine S, Gonzalez E, Torres M , Moreno M , Quintero R. Knowledge-based system for color maps recognition. En Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag. 2005. p. 297-303. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11552413_43

Knowledge-based system for color maps recognition

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