
 | 
26 Jun 2023
             
         
    CHALLENGING ARCHITECTURES: AN INTEGRATED AND MULTIPURPOSE SURVEY FOR THE COMPLETE MAPPING OF THE EMIR PALACE IN KOGON (UZBEKISTAN) 
        
            R. Pierdicca, L. Gorgoglione, M. Martuscelli, and S. Usmanov
        
            
            
            
            
        Related authors
        
            
            
                    
                        
                            
                            
                            
                                     
                                AI4EO hyperview challenge: combination of machine learning methods on hyperspectral images to predict the soil parameters
                                Marsia Sanità, Eva Savina Malinverni, Roberto Pierdicca, Adriano Mancini, Ewa Glowienka, and Lindo Nepi
                                    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
                                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
                             
                            
                            
                         
                     
                    
                        
                            
                            
                            
                                     
                                Advancing forest inventory: a comparative study of low-cost MLS lidar device with professional laser scanners
                                Mattia Balestra, Carlos Cabo, Arnadi Murtiyoso, Alessandro Vitali, Flor Alvarez-Taboada, Alejandro Cantero-Amiano, Rodolfo Bolaños, Diego Laino, and Roberto Pierdicca
                                    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
                             
                            
                            
                         
                     
                    
                        
                            
                            
                            
                                     
                                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
                             
                            
                            
                         
                     
                    
             
    
            
                    
                        
                            
                            
                            
                                     
                                AI4EO hyperview challenge: combination of machine learning methods on hyperspectral images to predict the soil parameters
                                Marsia Sanità, Eva Savina Malinverni, Roberto Pierdicca, Adriano Mancini, Ewa Glowienka, and Lindo Nepi
                                    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
                                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
                             
                            
                            
                         
                     
                    
                        
                            
                            
                            
                                     
                                Advancing forest inventory: a comparative study of low-cost MLS lidar device with professional laser scanners
                                Mattia Balestra, Carlos Cabo, Arnadi Murtiyoso, Alessandro Vitali, Flor Alvarez-Taboada, Alejandro Cantero-Amiano, Rodolfo Bolaños, Diego Laino, and Roberto Pierdicca
                                    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
                             
                            
                            
                         
                     
                    
                        
                            
                            
                            
                                     
                                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