The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Share
Publications Copernicus
Download
Citation
Share
Articles | Volume XLVIII-M-9-2025
https://doi.org/10.5194/isprs-archives-XLVIII-M-9-2025-269-2025
https://doi.org/10.5194/isprs-archives-XLVIII-M-9-2025-269-2025
01 Oct 2025
 | 01 Oct 2025

HERITALISE. Project Insights and Initial Developments

Filiberto Chiabrando, Andrea Lingua, Alessandra Spreafico, Giulia Sammartano, Francesca Matrone, Mikel Borras, Alberto Mendikute Garate, Alan Miller, Marinos Ioannides, Petros Siegkas, Drew Baker, Mia Trentin, Anthony Cassar, and Julia Galea

Keywords: Cultural Heritage, Horizon Europe, Digitisation techniques, Artificial Intelligence, Virtual/Augmented/Mixed Reality

Abstract. Cultural Heritage (CH) encompasses a broad spectrum of tangible and intangible assets, from artifacts and architecture to landscapes and traditions. These require diverse and complex data for documentation, study, and preservation. Technological advancements have significantly improved how CH is digitised, enhancing understanding and access. Digital records preserve historical, aesthetic, and scientific values while supporting public engagement. However, there remains no universal standard for CH digitisation, with approaches often tailored to each project based on various technical and contextual factors.
Digitisation methods depend on object-specific complexity criteria such as size, material and their condition, and location, requiring multidisciplinary collaboration. Common techniques are usually employed like laser scanning, photogrammetry and structured light, while AI and emerging technologies are expanding the capabilities of advancing digitization and visualization. In the present paper the EU HERITALISE project is presented, which addresses current limitations by developing advanced methods for capturing holistically both visible and non-visible CH features. It extends frameworks like H (Holistic)-HBIM to a Memory twin, integrating multimodal and complex data types in four (4) selected demo sites presented in this paper.

Share