Bibliographies

Freitas, S., Silva, H., and Silva, E. (2021). Remote hyperspectral imaging acquisition and characterization for marine litter detection, Remote Sens., 13, 2536(2531-2522), [...]

Freitas, S., Silva, H., and Silva, E. (2022). Hyperspectral imaging zero-shot learning for remote marine litter detection and classification, Remote Sens. (Basel), 14, 5516(5511-5518), [...]

Ciappa, A. C. (2022). Marine litter detection by Sentinel-2: A case study in North Adriatic (Summer 2020), Remote Sens. (Basel), 14, 2409, https://doi.org/10.3390/rs14102409.

Leonelli, F. E., Bellacicco, M., Pitarch, J., Organelli, E., Buongiorno Nardelli, B., de Toma, V., et al. (2022). Ultra-oligotrophic waters expansion in the North Atlantic Subtropical Gyre [...]

Yang, J., Tan, K., Liu, S., Zhang, W., and Tao, P. (2023) Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners, Int. J. Appl. Earth Obs. [...]

Merlino, S., Paterni, M., Locritani, M., Andriolo, U., Gonçalves, G., Massetti, L. (2021). Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images. Water, [...]

Gonçalves, G., Andriolo, U., Gonçalves, L., Sobral, P., Bessa, F. (2022). Beach litter survey by drones: Mini-review and discussion of a potential standardization. Environmental Pollution, 315, [...]

Gonçalves, G. and Andriolo, U. (2022). Operational use of multispectral images for macro-litter mapping and, categorization by Unmanned Aerial Vehicle. Marine Pollution Bulletin. 176, March 2022, [...]

Duarte, D., Andriolo, U., Gonçalves, G. (2020). Addressing the class imbalance problem in the automatic image classification of coastal litter from orthophotos derived from uas imagery, ISPRS [...]

Andriolo, U., Gonçalves, G., Rangel-Buitrago, N., Paterni, M., Bessa, F., Gonçalves, L., Sobral, P., Bini, M., Duarte, D., Fontan-Bouzas, A., Gonçalves, D., Kataoka, T., Luppichini, M., Pinto, [...]