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Reconstruct street network from imprecise excavation data using fuzzy Hough transforms

Abstract : This paper proposes an approach for handling multivariate data in an archaeological Geographical Information System (GIS), providing a new tool to archaeologists and historians. Our method extracts potential objects of known shapes in a geographical database (GDB) devoted to archaeological excavations. In this work, archaeological information is organized according to three components: location, date and a shape parameter, in a context where data are imprecise and lacunar. To manage these aspects, a three-step methodology was developed using fuzzy sets modeling and adapting the fuzzy Hough transform. This methodology is applied in order to define the appropriate tool for a GDB of Roman street remains in Reims, France. The defined queries return an estimation of the possible presence of streets during a fuzzy time interval given by experts on the Roman period in Reims.
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https://hal.univ-reims.fr/hal-03566569
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Submitted on : Friday, February 11, 2022 - 4:04:13 PM
Last modification on : Saturday, February 12, 2022 - 3:37:16 AM

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Cyril de Runz, Eric Desjardin, Frédéric Piantoni, Michel Herbin. Reconstruct street network from imprecise excavation data using fuzzy Hough transforms. Geoinformatica, 2014, 18 (2), pp.253-268. ⟨10.1007/s10707-013-0183-1⟩. ⟨hal-03566569⟩

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