DIGITAL SURVEY AI AND SEMANTICS FOR RAILWAY MASONRY BRIDGES HEALTH ASSESSMENT

نویسندگان

چکیده

Abstract. Masonry arch railway bridges represent a historically built heritage to be preserved. The multidisciplinary approach requires the construction of common language, namely creation formal conceptualisation bridge domain that could serve as basis for both adding new layers knowledge in H-BIM modeling and aiding automatic segmentation masonry point clouds, thus supporting semi-automatic information models. presented research aims at showing results an in-depth analysis conducted on arched computational ontologies; following this, authors propose semantic conceptualization domain, structured with three group key concepts needed process knowledge: elements, materials, defects. As case study Sicilian Circumetnea are chosen.

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ژورنال

عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2021

ISSN: ['1682-1777', '1682-1750', '2194-9034']

DOI: https://doi.org/10.5194/isprs-archives-xlvi-m-1-2021-249-2021