Typification for façade structures based on user perception

• Verfasst von: Shen, Jie [VerfasserIn]
• Verfasst von: Fan, Hongchao [VerfasserIn]
• Titel: Typification for façade structures based on user perception
• Verf.angabe: Jie Shen, Hongchao Fan, Bo Mao and Menghe Wang
• E-Jahr: 2016
• Jahr: 9 December 2016
• Umfang: 15 S.
• Fussnoten: Gesehen am 06.05.2020
• Titel Quelle: Enthalten in: International Society for Photogrammetry and Remote SensingISPRS International Journal of Geo-Information
• Ort Quelle: Basel : MDPI, 2012
• Jahr Quelle: 2016
• Band/Heft Quelle: 5(2016,12) Artikel-Nummer 239, 15 Seiten
• ISSN Quelle: 2220-9964
• DOI: doi:10.3390/ijgi5120239
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: attributed relational graph (ARG)
• Sach-SW: generalization
• Sach-SW: typification
• Sach-SW: user survey
• K10plus-PPN: 169728275X

Abstract

Typification is a well-established operator of map generalization. Although it is widely used in many existing research fields, less discussion has been devoted to the quality of typification. This paper presents a user survey for the evaluation of different typification results of façade structures under different constraints. The survey shows that preservation of the shape of the features is the most important constraint for a reasonable typification process, which has also been quantitatively verified by calculating the similarities between the typified façades and the original façade using attributed relational graph (ARG) and nested earth mover’s distance (NEMD) algorithms. Based on that, an algorithm is developed to generate perceivably reasonable representation from the original facade with decreasing map scale. The algorithm is implemented and tested on a number of façades. Experiments reveal that the typification can be automatically conducted and can create results which are well associated with the original façades.