{"ID":23476182,"CreatedAt":"2026-09-18T01:09:05.407443952Z","UpdatedAt":"2026-09-20T18:11:56.143995915Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2609.19179","arxiv_id":"2609.19179","title":"Coupling Hyperspectral and 3D Data for the preventive Conservation of Palace-museums","abstract":"In the current context of energy and climate transition, the preventive conservation of historic buildings is particularly important due to their impact on architecture and works of art. Establishing the correlation between environmental variables and the condition of artworks in situ requires comprehensive and individualized monitoring, allowing for an understanding of cause-and-effect mechanisms. To address this challenge, the EPICO method provides a systematic framework for assessing deterioration risks in palace-museums through multi-scale monitoring and correlation between environmental parameters and object condition. The aim of the proposed topic is to enhance this decision-making tool with the creation of digital twins. These digital twins being fed with three-dimensional hyperspectral and LiDAR mapping of spaces and objects.","short_abstract":"In the current context of energy and climate transition, the preventive conservation of historic buildings is particularly important due to their impact on architecture and works of art. Establishing the correlation between environmental variables and the condition of artworks in situ requires comprehensive and individ...","url_abs":"https://arxiv.org/abs/2609.19179","url_pdf":"https://arxiv.org/pdf/2609.19179v1","authors":"[\"Julie Fromager\",\"Vincent Gauthier\",\"Loïc Martinez\",\"Danilo Forleo\",\"Stéphane Serfaty\"]","published":"2026-09-15T09:35:49Z","proceeding":"eess.IV","tasks":"[\"eess.IV\"]","methods":"[]","has_code":false}