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

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  • Thomas Leduc
  • Kevin Hartwell

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.

Suggested Citation

  • Thomas Leduc & Kevin Hartwell, 2020. "The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections," Environment and Planning B, , vol. 47(6), pages 1065-1080, July.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:6:p:1065-1080
    DOI: 10.1177/2399808318816994
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