Bibliographies

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, [...]

Zhang, P., Du, P., Guo, S., Zhang, W., Tang, P., Chen, J., and Zheng, H.(2022). A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images, Remote Sens. [...]

Watanabe, J.-I., Shao, Y., and Miura, N. (2019). Underwater and airborne monitoring of marine ecosystems and debris, J. Appl. Rem. Sens., 13, 044509, https://doi.org/10.1117/1.JRS.13.044509

Valdenegro-Toro, M. (2019) . Deep neural networks for marine debris detection in sonar images. PhD Thesis Heirot-Watt University, Edinburgh, United Kingdom, ArXiv e-prints, 1-241, [...]

Taggio, N., Aiello, A., Ceriola, G., Kremezi, M., Kristollari, V., Kolokoussis, P., Karathanassi, V., and Barbone, E.(2022) A combination of machine learning algorithms for marine plastic litter [...]

Simpson, M. D., Marino, A., de Maagt, P., Gandini, E., Hunter, P., Spyrakos, E., Tyler, A., and Telfer, T. (2022) Monitoring of plastic islands in river environment using Sentinel-1 SAR data, [...]