A Multilevel Road Alignment Model for Spatial-Query-by-Sketch
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INVESTIGACIONMetadatos
Título
A Multilevel Road Alignment Model for Spatial-Query-by-SketchFecha de publicación
2020-11-01Editor
MDPIISSN
2076-3417Cita bibliográfica
TANG, Ming; FALOMIR, Zoe; SHENG, Yehua. A Multilevel Road Alignment Model for Spatial-Query-By-Sketch. Applied Sciences, 2020, vol. 10, no 21, p. 7685Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/2076-3417/10/21/7685/htmVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
A sketch map represents an individual’s perception of a specific location. However, the information in sketch maps is often distorted and incomplete. Nevertheless, the main roads of a given location often exhibit ... [+]
A sketch map represents an individual’s perception of a specific location. However, the information in sketch maps is often distorted and incomplete. Nevertheless, the main roads of a given location often exhibit considerable similarities between the sketch maps and metric maps. In this work, a shape-based approach was outlined to align roads in the sketch maps and metric maps. Specifically, the shapes of main roads were compared and analyzed quantitatively and qualitatively in three levels pertaining to an individual road, composite road, and road scene. An experiment was performed in which for eight out of nine maps sketched by our participants, accurate road maps could be obtained automatically taking as input the sketch and the metric map. The experimental results indicate that accurate matches can be obtained when the proposed road alignment approach Shape-based Spatial-Query-by-Sketch (SSQbS) is applied to incomplete or distorted roads present in sketch maps and even to roads with an inconsistent spatial relationship with the roads in the metric maps. Moreover, highly similar matches can be obtained for sketches involving fewer roads. [-]
Publicado en
Applied Sciences, 2020, vol. 10, no 21Proyecto de investigación
National Natural Science Foundation of China (NSFC): 41631175; National Key Research and Development Program of China: 2017YFB0503500Derechos de acceso
info:eu-repo/semantics/openAccess
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