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24 Jun 2023
FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE
E. Balloni, L. Gorgoglione, M. Paolanti, A. Mancini, and R. Pierdicca
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 9–15, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-9-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-9-2024, 2024
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Mattia Balestra, Federico Fattorini, Renato Angeloni, Laura Nanni, Adriano Mancini, Roberto Papa, and Roberto Pierdicca
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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
Stefano Chiappini, Mattia Balestra, Federico Giulioni, Ernesto Marcheggiani, Eva Savina Malinverni, and Roberto Pierdicca
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 61–68, https://doi.org/10.5194/isprs-annals-X-3-2024-61-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-61-2024, 2024
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
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
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
INTEGRATION OF GEOMATIC TECHNIQUES FOR THE 3D REPRESENTATION AND MONITORING OF A VETERAN CHESTNUT TREE
M. Balestra, S. Chiappini, A. Vitali, E. Tonelli, F. Malandra, A. Galli, C. Urbinati, E. S. Malinverni, and R. Pierdicca
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AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS
A. Murtiyoso, F. Matrone, M. Martini, A. Lingua, P. Grussenmeyer, and R. Pierdicca
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COST EFFECTIVE SPHERICAL PHOTOGRAMMETRY: A NOVEL FRAMEWORK FOR THE SMART MANAGEMENT OF COMPLEX URBAN ENVIRONMENTS
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A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
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DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD
E. S. Malinverni, R. Pierdicca, M. Paolanti, M. Martini, C. Morbidoni, F. Matrone, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 735–742, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, 2019
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE
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HOW TO EXTRACT USEFUL INFORMATION ABOUT THE DECAY OF BASS RELIEVES IN ARCHAEOLOGICAL AREA
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