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05 Dec 2023
UAV4TREE: DEEP LEARNING-BASED SYSTEM FOR AUTOMATIC CLASSIFICATION OF TREE SPECIES USING RGB OPTICAL IMAGES OBTAINED BY AN UNMANNED AERIAL VEHICLE
R. Pierdicca, L. Nepi, A. Mancini, E. S. Malinverni, and M. Balestra
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High definition 3D models of small legume seed: a close up application to support ancient plant genomics
Mattia Balestra, Federico Fattorini, Renato Angeloni, Laura Nanni, Adriano Mancini, Roberto Papa, and Roberto Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 17–24, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-17-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-17-2024, 2024
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 TO FIGHT ILLICIT TRAFFICKING OF CULTURAL PROPERTY
D. Abate, A. Agapiou, K. Toumbas, A. Lampropoulos, K. Petrides, R. Pierdicca, M. Paolanti, F. Di Stefano, A. Felicetti, E. S. Malinverni, and P. Zingaretti
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
D. Abate, M. Paolanti, R. Pierdicca, A. Lampropoulos, K. Toumbas, A. Agapiou, S. Vergis, E. Malinverni, K. Petrides, A. Felicetti, and P. Zingaretti
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
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
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
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 317–324, https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022, 2022
COST EFFECTIVE SPHERICAL PHOTOGRAMMETRY: A NOVEL FRAMEWORK FOR THE SMART MANAGEMENT OF COMPLEX URBAN ENVIRONMENTS
S. Chiappini, A. Fini, E. S. Malinverni, E. Frontoni, G. Racioppi, and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 441–448, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020,https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020, 2020
A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020
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
M. Paolanti, R. Pierdicca, M. Martini, A. Felicetti, E. S. Malinverni, E. Frontoni, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 871–878, https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019, 2019
HOW TO EXTRACT USEFUL INFORMATION ABOUT THE DECAY OF BASS RELIEVES IN ARCHAEOLOGICAL AREA
E. S. Malinverni, R. Pierdicca, F. Di Stefano, M. Sturari, M. Mameli, E. Frontoni, R. Orazi, and F. Colosi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 785–792, https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019, 2019
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
R. Pierdicca, E. S. Malinverni, F. Piccinini, M. Paolanti, A. Felicetti, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 893–900, https://doi.org/10.5194/isprs-archives-XLII-2-893-2018,https://doi.org/10.5194/isprs-archives-XLII-2-893-2018, 2018
CONSERVATION-ORIENTED HBIM. THE BIMEXPLORER WEB TOOL
R. Quattrini, R. Pierdicca, C. Morbidoni, and E. S. Malinverni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 275–281, https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017,https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017, 2017
High definition 3D models of small legume seed: a close up application to support ancient plant genomics
Mattia Balestra, Federico Fattorini, Renato Angeloni, Laura Nanni, Adriano Mancini, Roberto Papa, and Roberto Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 17–24, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-17-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-17-2024, 2024
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
D. Abate, A. Agapiou, K. Toumbas, A. Lampropoulos, K. Petrides, R. Pierdicca, M. Paolanti, F. Di Stefano, A. Felicetti, E. S. Malinverni, and P. Zingaretti
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
SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
D. Abate, M. Paolanti, R. Pierdicca, A. Lampropoulos, K. Toumbas, A. Agapiou, S. Vergis, E. Malinverni, K. Petrides, A. Felicetti, and P. Zingaretti
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
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
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
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 317–324, https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022, 2022
COST EFFECTIVE SPHERICAL PHOTOGRAMMETRY: A NOVEL FRAMEWORK FOR THE SMART MANAGEMENT OF COMPLEX URBAN ENVIRONMENTS
S. Chiappini, A. Fini, E. S. Malinverni, E. Frontoni, G. Racioppi, and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 441–448, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020,https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020, 2020
A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1419-2020, 2020
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
M. Paolanti, R. Pierdicca, M. Martini, A. Felicetti, E. S. Malinverni, E. Frontoni, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 871–878, https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-871-2019, 2019
HOW TO EXTRACT USEFUL INFORMATION ABOUT THE DECAY OF BASS RELIEVES IN ARCHAEOLOGICAL AREA
E. S. Malinverni, R. Pierdicca, F. Di Stefano, M. Sturari, M. Mameli, E. Frontoni, R. Orazi, and F. Colosi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 785–792, https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019, 2019
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
R. Pierdicca, E. S. Malinverni, F. Piccinini, M. Paolanti, A. Felicetti, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 893–900, https://doi.org/10.5194/isprs-archives-XLII-2-893-2018,https://doi.org/10.5194/isprs-archives-XLII-2-893-2018, 2018
CONSERVATION-ORIENTED HBIM. THE BIMEXPLORER WEB TOOL
R. Quattrini, R. Pierdicca, C. Morbidoni, and E. S. Malinverni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 275–281, https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017,https://doi.org/10.5194/isprs-archives-XLII-5-W1-275-2017, 2017
