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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022
© Author(s) 2022. 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-XLIII-B2-2022-729-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
The Cyprus Institute, Science and Technology in Archaeology and Culture Research Centre (STARC), 2121, Nicosia, Cyprus
M. Paolanti
University of Macerata, Department of Political Sciences, Communication and International Relations, 62100 Macerata, Italy
VRAI Lab - Università Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60131 Ancona, Italy
R. Pierdicca
Università Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’Architettura, 60131 Ancona, Italy
A. Lampropoulos
HYPERTECH S.A., 32 Perikleous St, 15232 Athens, Greece
K. Toumbas
The Cyprus Institute, Science and Technology in Archaeology and Culture Research Centre (STARC), 2121, Nicosia, Cyprus
A. Agapiou
The Cyprus Institute, Science and Technology in Archaeology and Culture Research Centre (STARC), 2121, Nicosia, Cyprus
S. Vergis
HYPERTECH S.A., 32 Perikleous St, 15232 Athens, Greece
E. Malinverni
Università Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’Architettura, 60131 Ancona, Italy
K. Petrides
HYPERTECH S.A., 32 Perikleous St, 15232 Athens, Greece
A. Felicetti
VRAI Lab - Università Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60131 Ancona, Italy
P. Zingaretti
VRAI Lab - Università Politecnica delle Marche, Dipartimento di Ingegneria dell’Informazione, 60131 Ancona, 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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