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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-5/W1
https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XLII-5-W1-203-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
15 May 2017
DOCUMENTATION AND DETECTION OF COLOUR CHANGES OF BAS RELIEVES USING CLOSE RANGE PHOTOGRAMMETRY
E. S. Malinverni
Universtitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’ Architettura, Italy
R. Pierdicca
Universtitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’ Architettura, Italy
M. Sturari
Universtitá Politecnica delle Marche, Dipartimento di Ingegneria dell’ Informazione Via Brecce Bianche, 60100, Ancona, Italy
F. Colosi
Consiglio Nazionale delle Ricerche, Istituto per le Tecnologie Applicate ai Beni Culturali, Italy
R. Orazi
Consiglio Nazionale delle Ricerche, Istituto per le Tecnologie Applicate ai Beni Culturali, 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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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
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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