The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections
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1 juillet 2020
- handle: 10670/1.utxvs4
- hal: hal-01945663
- doi: 10.1177/2399808318816994
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http://creativecommons.org/licenses/by-nc-nd/ , info:eu-repo/semantics/OpenAccess
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Thomas Leduc et al., « The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections », HAL-SHS : architecture, ID : 10.1177/2399808318816994
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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.