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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W11
https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-2-W11-785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 May 2019
| 04 May 2019
HOW TO EXTRACT USEFUL INFORMATION ABOUT THE DECAY OF BASS RELIEVES IN ARCHAEOLOGICAL AREA
E. S. Malinverni
Department of Construction, Civil Engineering and Architecture, Università Politecnica delle Marche, Ancona, Italy
R. Pierdicca
Department of Construction, Civil Engineering and Architecture, Università Politecnica delle Marche, Ancona, Italy
F. Di Stefano
Department of Construction, Civil Engineering and Architecture, Università Politecnica delle Marche, Ancona, Italy
M. Sturari
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
M. Mameli
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
E. Frontoni
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
R. Orazi
Institute for technologies applied to cultural heritage, Consiglio Nazionale delle Ricerche, Rome, Italy
F. Colosi
Institute for technologies applied to cultural heritage, Consiglio Nazionale delle Ricerche, Rome, Italy
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Short summary
Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
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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
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
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
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
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
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
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
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
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
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
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
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
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
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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