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30 May 2022
ASSESSING LEVELLING AND DINSAR FOR DEFORMATION MONITORING IN SEISMIC REGION
F. Di Stefano, M. Cuevas-Gonzalez, G. Luzi, and E. S. Malinverni
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LiDAR-driven Topographic Surveys for Floodplain Management
Eva Savina Malinverni, Francesco Di Stefano, Stefano Chiappini, Giovanna Darvini, Davide Fronzi, Roberto Pierdicca, and Alberto Tazioli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1035–1042, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1035-2025,https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1035-2025, 2025
ARTIFICIAL INTELLIGENCE AND CULTURAL HERITAGE: DESIGN AND ASSESSMENT OF AN ETHICAL FRAMEWORK
S. Pansoni, S. Tiribelli, M. Paolanti, F. Di Stefano, E. Frontoni, E. S. Malinverni, and B. Giovanola
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1149–1155, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1149-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1149-2023, 2023
ARTIFICIAL INTELLIGENCE TO FIGHT ILLICIT TRAFFICKING OF CULTURAL PROPERTY
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 3–10, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023, 2023
GEOMATIC TECHNOLOGIES TO VALORIZE HISTORICAL WATERMILLS
F. Di Stefano, M. Sanità, E. S. Malinverni, and G. Doti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 511–518, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-511-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-511-2023, 2023
Advanced Persistent Scatterer Interferometry products
Michele Crosetto, Maria C. Ramlie, Anna Barra, María Cuevas-González, Riccardo Palamà, Oriol Monserrat, Qi Gao, and Saeedeh Shahbazi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B3-2026, 487–492, https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-487-2026,https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-487-2026, 2026
Automatic Extraction and Multi-Class Instance Segmentation of Rural Road Networks from Orthoimagery using YOLOv11 and SAHI Sliced Inference for Cadastral Update
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AI4EO hyperview challenge: combination of machine learning methods on hyperspectral images to predict the soil parameters
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1315–1322, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1315-2025,https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1315-2025, 2025
LiDAR-driven Topographic Surveys for Floodplain Management
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1035–1042, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1035-2025,https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1035-2025, 2025
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Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy
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ADVANCED ANALYSIS TOOLS FOR THE EUROPEAN GROUND MOTION SERVICE DATA
M. Crosetto, S. Shahbazi, M. Cuevas-González, J. Navarro, and M. Mróz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1229–1234, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1229-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1229-2023, 2023
A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS
M. Balestra, R. Pierdicca, L. Cesaretti, G. Quattrini, A. Mancini, A. Galli, E. S. Malinverni, S. Casavecchia, and S. Pesaresi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 33–40, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-33-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-33-2023, 2023
ARTIFICIAL INTELLIGENCE AND CULTURAL HERITAGE: DESIGN AND ASSESSMENT OF AN ETHICAL FRAMEWORK
S. Pansoni, S. Tiribelli, M. Paolanti, F. Di Stefano, E. Frontoni, E. S. Malinverni, and B. Giovanola
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1149–1155, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1149-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1149-2023, 2023
GEOMATIC TECHNOLOGIES TO VALORIZE HISTORICAL WATERMILLS
F. Di Stefano, M. Sanità, E. S. Malinverni, and G. Doti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 511–518, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-511-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-511-2023, 2023
ARTIFICIAL INTELLIGENCE TO FIGHT ILLICIT TRAFFICKING OF CULTURAL PROPERTY
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 3–10, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023, 2023
ANALYSIS OF THE PRODUCTS OF THE COPERNICUS GROUND MOTION SERVICE
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INTEGRATION OF GEOMATIC TECHNIQUES FOR THE 3D REPRESENTATION AND MONITORING OF A VETERAN CHESTNUT TREE
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 833–839, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022, 2022
SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 729–736, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022, 2022