Antonia Spanò

associated professor

Politecnico di Torino

Italy

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Antonia Spanò is an Associate Professor at Politecnico di Torino, Italy. Her research focuses on advanced methodologies in point cloud semantic segmentation, architectural conservation using deep learning, and the study of significant heritage contexts through machine learning approaches. Her recent work also explores the management of climate-induced landscape changes and the automation of built heritage modeling for integration into 3D city models.

Antonia Spanò

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Articles (18)

Transfer Learning Strategies for the Enhancement of Point Cloud Semantic Segmentation Processes in Landscape Heritage Contexts

Synthetic Training Datasets for Architectural Conservation: A Deep Learning Approach for Decay Detection

Automating Built Heritage Modelling for the Integration into 3D City Models

A SCALABLE APPROACH FOR AUTOMATING SCAN-TO-BIM PROCESSES IN THE HERITAGE FIELD

ENHANCING TERRESTRIAL POINT CLOUDS USING UPSAMPLING STRATEGY: FIRST OBSERVATION AND TEST ON FARO FLASH TECHNOLOGY

Semantic Mapping of Landscape Morphologies: Tuning ML/DL Classification Approaches for Airborne LiDAR Data

ML Approaches for the Study of Significant Heritage Contexts: An Application on Coastal Landscapes in Sardinia

A heterogenous-source geoinformation system to manage climate-induced modifications on the landscape for sustainable development

DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE: PREFACE

DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE: PREFACE

Integrated 3D Mapping and Diagnosis for the Structural Assessment of Architectural Heritage: Morano’s Parabolic Arch

A SEMI-AUTOMATED APPROACH TO MODEL ARCHITECTURAL ELEMENTS IN SCAN-TO-BIM PROCESSES

DIGITAL REPLICAS OF BRITISH MUSEUM ARTEFACTS

MULTISPECTRAL UAV DATA ENHANCING THE KNOWLEDGE OF LANDSCAPE HERITAGE

INTEGRATED AIRBORNE LIDAR-UAV METHODS FOR ARCHAEOLOGICAL MAPPING IN VEGETATION-COVERED AREAS

ASSESSING TERRESTRIAL MMS 3D DATA FOR OUTDOOR MULTI-SCALE MODELLING

Digital Twinning for 20th Century Concrete Heritage: HBIM Cognitive Model for Torino Esposizioni Halls

Integrated HBIM-GIS Models for Multi-Scale Seismic Vulnerability Assessment of Historical Buildings

Collaborators (3)

caterina balletti

Marco Baldo

MARCO CAPPELLAZZO

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