POINT CLOUD CLASSIFICATION OF AN URBAN ENVIRONMENT USING A SEMI-AUTOMATIC APPROACH

Di Stefano, F.; Pierdicca, R.; Malinverni, E. S.; Corneli, A.; Naticchia, B.

doi:https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-131-2023

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

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

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 1225–1232, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1225-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1225-2023, 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

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

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 155–162, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-155-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-155-2023, 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

EXPLAINING AI: UNDERSTANDING DEEP LEARNING MODELS FOR HERITAGE POINT CLOUDS

F. Matrone, A. Felicetti, M. Paolanti, and R. Pierdicca

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-M-1-2023, 207–214, https://doi.org/10.5194/isprs-annals-X-M-1-2023-207-2023,https://doi.org/10.5194/isprs-annals-X-M-1-2023-207-2023, 2023

GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data

Roberto Pierdicca and Marina Paolanti

Geosci. Instrum. Method. Data Syst., 11, 195–218, https://doi.org/10.5194/gi-11-195-2022,https://doi.org/10.5194/gi-11-195-2022, 2022

Short summary

ASSESSING LEVELLING AND DINSAR FOR DEFORMATION MONITORING IN SEISMIC REGION

F. Di Stefano, M. Cuevas-Gonzalez, G. Luzi, and E. S. Malinverni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 263–270, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-263-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-263-2022, 2022

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

KNOWLEDGE MODELING FOR HERITAGE CONSERVATION PROCESS: FROM SURVEY TO HBIM IMPLEMENTATION

F. Di Stefano, A. Gorreja, E. S. Malinverni, and C. Mariotti

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W1-2020, 19–26, https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-19-2020,https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-19-2020, 2020

GRAPH CNN WITH RADIUS DISTANCE FOR SEMANTIC SEGMENTATION OF HISTORICAL BUILDINGS TLS POINT CLOUDS

C. Morbidoni, R. Pierdicca, R. Quattrini, and E. Frontoni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W1-2020, 95–102, https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-95-2020,https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-95-2020, 2020

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

A GEODATABASE FOR MULTISOURCE DATA MANAGEMENT APPLIED TO CULTURAL HERITAGE: THE CASE STUDY OF VILLA BUONACCORSI’S HISTORICAL GARDEN

E. S. Malinverni, S. Chiappini, and R. Pierdicca

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 771–776, https://doi.org/10.5194/isprs-archives-XLII-2-W11-771-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W11-771-2019, 2019

MODELLING IN HBIM TO DOCUMENT MATERIALS DECAY BY A THEMATIC MAPPING TO MANAGE THE CULTURAL HERITAGE: THE CASE OF “CHIESA DELLA PIETÀ” IN FERMO

E. S. Malinverni, F. Mariano, F. Di Stefano, L. Petetta, and F. Onori

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 777–784, https://doi.org/10.5194/isprs-archives-XLII-2-W11-777-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W11-777-2019, 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

THE EUROPEAN RESEARCH NIGHT: NEW WAYS FOR COMMUNICATING SCIENCE WITH ICT AND VIDEOMAPPING

R. Quattrini, R. Pierdicca, A. Lucidi, F. Di Stefano, and E. S. Malinverni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 647–654, https://doi.org/10.5194/isprs-archives-XLII-2-W9-647-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W9-647-2019, 2019

IMPROVING SPHERICAL PHOTOGRAMMETRY USING 360° OMNI-CAMERAS: USE CASES AND NEW APPLICATIONS

G. Fangi, R. Pierdicca, M. Sturari, and E. S. Malinverni

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 331–337, https://doi.org/10.5194/isprs-archives-XLII-2-331-2018,https://doi.org/10.5194/isprs-archives-XLII-2-331-2018, 2018

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

DOCUMENTATION AND DETECTION OF COLOUR CHANGES OF BAS RELIEVES USING CLOSE RANGE PHOTOGRAMMETRY

E. S. Malinverni, R. Pierdicca, M. Sturari, F. Colosi, and R. Orazi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 203–210, https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017,https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017, 2017

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

DISCOVERING AND SHARING OF SECRET ARCHITECTURES: THE HIDDEN TOMB OF THE PHARAOH OF EL-KHASNEH, JORDAN

E. S. Malinverni and R. Pierdicca

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 459–465, https://doi.org/10.5194/isprs-archives-XLII-2-W3-459-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W3-459-2017, 2017

UAV SURVEYING FOR A COMPLETE MAPPING AND DOCUMENTATION OF ARCHAEOLOGICAL FINDINGS. THE EARLY NEOLITHIC SITE OF PORTONOVO

E. S. Malinverni, C. Conati Barbaro, R. Pierdicca, C. A. Bozzi, and A. N. Tassetti

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1149–1155, https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016, 2016

POINT CLOUD CLASSIFICATION OF AN URBAN ENVIRONMENT USING A SEMI-AUTOMATIC APPROACH

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