The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections. (July 2020)

• Record Type: Journal Article
• Authors: Leduc, Thomas; Hartwell, Kevin
• Is Part Of: Environment & planning. Volume 47:Number 6(2020)
• Page Start: 1065
• Page End: 1080
• Publication Date: 2020-07
• Subjects: Shape recognition -- isovist field -- pattern matching -- Fourier transform -- intersection; City planning -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.11605
• DOI: 10.1177/2399808318816994
• Languages: English
• ISSNs: 2399-8083

Abstract

This research focuses on the automatic classification of small urban fragments through a morphological analysis of cognitivist inspiration. The recognition algorithm is performed on observer-centric forms, constructed through the use of visibility assessment techniques over a series of individual points of view. These tools are (1) the isovist for its capacity to delineate and synthesize the visual properties of the immediate viewshed from a point, and (2) the automatic construction of a typology of intersection patterns. The aim is to assimilate the forms of the theoretical intersection patterns to those extracted from the isovist field generated by a group of strategically placed points. Three different matching methods are proposed, and the significance of the parameters needed for optimal calibration is discussed.