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Abstract. Continuous monitoring procedures are becoming even more crucial for assessing the potential deterioration of architectural structures, due to the many inducted advantages. A cultural heritage site, in fact, is constantly subject to degradation, due in particular to atmospheric agents. Preserving it with preventive analyses is an important goal for the scientific community. In this context, data collection methodologies, together with Artificial Intelligence, play a central role for the analysis of surface degradation. This study aims to present a proposal for the automated analysis of the state of degradation of an artefact, exploiting a novel solution including a combination of a graph database and a dynamic Digital Model. In this regard, a preliminary case study is presented, based on the Quadriportico of the Cathedral of San Matteo in Salerno, Italy.
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Maurizio Falcone
Centre National de la Recherche Scientifique
Antonio Origlia
University of Naples Federico II
Massimiliano Campi
University of Naples Federico II
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Federico II University Hospital
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Falcone et al. (Wed,) studied this question.
synapsesocial.com/papers/6a0eab5b7046b28dbef99d7a — DOI: https://doi.org/10.5194/isprs-archives-xliii-b4-2021-47-2021
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