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Journal Articles Environment and Planning B: Urban Analytics and City Science Year : 2020

The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections

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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 are discussed.
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Dates and versions

hal-01945663 , version 1 (14-11-2022)

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Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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Thomas Leduc, Kevin Hartwell. The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections. Environment and Planning B: Urban Analytics and City Science, 2020, 47 (6), pp.1065-1080. ⟨10.1177/2399808318816994⟩. ⟨hal-01945663⟩
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