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Implementation and Evaluation of a Fast Area Feature Labeling Method Using Auxiliary Lines

Bibliographic Data

ID22034532
AuthorsNoboru Abe (Osaka Electro-Communication University, corresponding author), Kohei Kuroda (Osaka Electro-Communication University), Yosuke Kamata (Osaka Electro-Communication University), Shogo Midoritani (Osaka Electro-Communication University)
Year2020
Volume9
Issue9
Pages529
Publication date2020-09-02
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9090529
OpenAlexW3082978943
LanguageEN
References cited19

Appropriate place labels, which provide the name or attribute of a graphical feature, are important in geographical information systems and cartography. Herein, an internal label placement method was proposed for area features, such as cities, prefectures, and lakes, on a map. For internal label placement, placing a large label for an extremely narrow or small area, such that the label does not protrude from the corresponding area is challenging. In such cases, a label can overlap with protruding labels from other areas. Meanwhile, tablet devices have been rapidly employed in recent years. Because tablet devices can easily zoom in on a map, it is possible to eliminate the overlaps by enlarging the map without changing the label size. Therefore, we proposed a method that enables real-time processing, even on tablet devices. The label positions are determined by detecting the intersections of the auxiliary and boundary lines of a given area feature. The proposed method adequately labels the positions of area features, even those with indents and narrow sections. Moreover, it can find tens of thousands of label positions within 100 ms, even on low-performance computers, such as tablet devices

Computer vision · Zoom · 3D Modeling in Geospatial Applications · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies · Mathematics · Artificial Intelligence

  • A General Cartographic Labelling Algorithm

    Shawn Edmondson, Jon Christensen et al.•Cartographica The International…•1996

  • Placing Text and Icon Labels Simultaneously

    Qingnian Zhang, Lars Harrie•Cartography and Geographic…•2006

Highly citedNo

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