Canedo, D.; Hipólito, J.; Fonte, J.; Dias, R.; do Pereiro, T.; Georgieva, P.; Gonçalves-Seco, L.; Vázquez, M.; Pires, N.; Fábrega-Álvarez, P.;
et al. The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation. Remote Sens. 2024, 16, 1933.
https://doi.org/10.3390/rs16111933
AMA Style
Canedo D, Hipólito J, Fonte J, Dias R, do Pereiro T, Georgieva P, Gonçalves-Seco L, Vázquez M, Pires N, Fábrega-Álvarez P,
et al. The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation. Remote Sensing. 2024; 16(11):1933.
https://doi.org/10.3390/rs16111933
Chicago/Turabian Style
Canedo, Daniel, João Hipólito, João Fonte, Rita Dias, Tiago do Pereiro, Petia Georgieva, Luís Gonçalves-Seco, Marta Vázquez, Nelson Pires, Pastor Fábrega-Álvarez,
and et al. 2024. "The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation" Remote Sensing 16, no. 11: 1933.
https://doi.org/10.3390/rs16111933
APA Style
Canedo, D., Hipólito, J., Fonte, J., Dias, R., do Pereiro, T., Georgieva, P., Gonçalves-Seco, L., Vázquez, M., Pires, N., Fábrega-Álvarez, P., Menéndez-Marsh, F., & Neves, A. J. R.
(2024). The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation. Remote Sensing, 16(11), 1933.
https://doi.org/10.3390/rs16111933
