Found: 10

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  • RATIONALE AND METHODS FOR COMPILING AN ATLAS OF DESERTIFICATION IN ITALY.

    Published in:
    Land Degradation & Development, 2009, v. 20, n. 3, p. 261, doi. 10.1002/ldr.908
    By:
    • COSTANTINI, E. A. C.;
    • URBANO, F.;
    • ARAMINI, G.;
    • BARBETTI, R.;
    • BELLINO, F.;
    • BOCCI, M.;
    • BONATI, G.;
    • FAIS, A.;
    • L'ABATE, G.;
    • LOJ, G.;
    • MAGINI, S.;
    • NAPOLI, R.;
    • NINO, P.;
    • PAOLANTI, M.;
    • PERCIABOSCO, M.;
    • TASCONE, F.
    Publication type:
    Article

  • EXPLAINING AI: UNDERSTANDING DEEP LEARNING MODELS FOR HERITAGE POINT CLOUDS.

    Published in:
    ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 10, n. M/1, p. 207, doi. 10.5194/isprs-annals-X-M-1-2023-207-2023
    By:
    • Matrone, F.;
    • Felicetti, A.;
    • Paolanti, M.;
    • Pierdicca, R.
    Publication type:
    Article

  • ARTIFICIAL INTELLIGENCE TO FIGHT ILLICIT TRAFFICKING OF CULTURAL PROPERTY.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 48, n. M/2, p. 3, doi. 10.5194/isprs-archives-XLVIII-M-2-2023-3-2023
    By:
    • Abate, D.;
    • Agapiou, A.;
    • Toumbas, K.;
    • Lampropoulos, A.;
    • Petrides, K.;
    • Pierdicca, R.;
    • Paolanti, M.;
    • Di Stefano, F.;
    • Felicetti, A.;
    • Malinverni, E. S.;
    • Zingaretti, P.
    Publication type:
    Article

  • FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 48, n. M/2, p. 155, doi. 10.5194/isprs-archives-XLVIII-M-2-2023-155-2023
    By:
    • Balloni, E.;
    • Gorgoglione, L.;
    • Paolanti, M.;
    • Mancini, A.;
    • Pierdicca, R.
    Publication type:
    Article

  • ARTIFICIAL INTELLIGENCE AND CULTURAL HERITAGE: DESIGN AND ASSESSMENT OF AN ETHICAL FRAMEWORK.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2023, v. 48, n. M/2, p. 1149, doi. 10.5194/isprs-archives-XLVIII-M-2-2023-1149-2023
    By:
    • Pansoni, S.;
    • Tiribelli, S.;
    • Paolanti, M.;
    • Di Stefano, F.;
    • Frontoni, E.;
    • Malinverni, E. S.;
    • Giovanola, B.
    Publication type:
    Article

  • SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, n. B2, p. 729, doi. 10.5194/isprs-archives-XLIII-B2-2022-729-2022
    By:
    • Abate, D.;
    • Paolanti, M.;
    • Pierdicca, R.;
    • Lampropoulos, A.;
    • Toumbas, K.;
    • Agapiou, A.;
    • Vergis, S.;
    • Malinverni, E.;
    • Petrides, K.;
    • Felicetti, A.;
    • Zingaretti, P.
    Publication type:
    Article

  • A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, v. 43, n. B2, p. 1419, doi. 10.5194/isprs-archives-XLIII-B2-2020-1419-2020
    By:
    • Matrone, F.;
    • Lingua, A.;
    • Pierdicca, R.;
    • Malinverni, E. S.;
    • Paolanti, M.;
    • Grilli, E.;
    • Remondino, F.;
    • Murtiyoso, A.;
    • Landes, T.
    Publication type:
    Article

  • DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. XLII-2/W15, p. 871, doi. 10.5194/isprs-archives-XLII-2-W15-871-2019
    By:
    • Paolanti, M.;
    • Pierdicca, R.;
    • Martini, M.;
    • Felicetti, A.;
    • Malinverni, E. S.;
    • Frontoni, E.;
    • Zingaretti, P.
    Publication type:
    Article

  • DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. XLII-2/W15, p. 735, doi. 10.5194/isprs-archives-XLII-2-W15-735-2019
    By:
    • Malinverni, E. S.;
    • Pierdicca, R.;
    • Paolanti, M.;
    • Martini, M.;
    • Morbidoni, C.;
    • Matrone, F.;
    • Lingua, A.
    Publication type:
    Article

  • DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS.

    Published in:
    International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2018, v. 42, n. 2, p. 893, doi. 10.5194/isprs-archives-XLII-2-893-2018
    By:
    • Pierdicca, R.;
    • Malinverni, E.S.;
    • Piccinini, F.;
    • Paolanti, M.;
    • Felicetti, A.;
    • Zingaretti, P.
    Publication type:
    Article