Mathematical Morphology Applied to Raster Generalization of Urban City Block Maps

Dados Bibliográficos

ID14701307
AutoresManuel Cámara (Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametria, Universidad Jaén, Spain), Manuel Antonio Ureña Cámara (Universidad de Jaén, autor correspondente), Francisco López (0000-0002-9434-1484, Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametria, Universidad Jaén, Spain), Francisco Javier Ariza López (0000-0002-5204-3630, Universidad de Jaén)
Ano2000
Volume37
Fascículo1
Páginas33-48
Data de publicação2000-03-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Identificadores do periódicoISSN: 0317-7173 • E-ISSN: 1911-9925
EditoraUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/a428-760t-1647-84p2
OpenAlexW2092329171
IdiomaEN
Referências citadas13

This study demonstrates the application of a morphological generalization system to a set of areal features with complex relations (city blocks). It evaluates its effectiveness using a set of indexes derived from a comparison of the automated results with manual generalizations. The results show that this system can be used as a first approach for an automatic or semiautomatic mechanism and that it is also a more objective method for solving scale change problems in urban maps

Algorithm · Block (permutation group theory · Cartographic generalization · Cartography · City block · Data mining · Generalization · Geography · Geometry · Image (mathematics · Image processing · Mathematical morphology · Raster data · Raster graphics · Scale (ratio · Set (abstract data type · Computer Science · Geographic Information Systems Studies · Land Use and Ecosystem Services · Mathematics · Remote Sensing and Land Use · Artificial Intelligence