Kataoka, T., Hinata, H., and Kako, S. i. (2012). A new technique for detecting colored macro plastic debris on beaches using webcam images and CIELUV, Mar. Pollut. Bull., 64, 1829-1836, [...]
Kako, S. i., Morita, S., and Taneda, T.(2020). Estimation of plastic marine debris volumes on beaches using unmanned aerial vehicles and image processing based on deep learning, Mar. Pollut. [...]
Kako, S. i., Isobe, A., Kataoka, T., and Hinata, H. (2014). A decadal prediction of the quantity of plastic marine debris littered on beaches of the East Asian marginal seas, Mar. Pollut. Bull., [...]
Jakovljevic, G., Govedarica, M., and Alvarez-Taboada, F.(2020). A deep learning model for automatic plastic mapping using unmanned aerial vehicle (UAV) data, Remote Sens. (Basel), 12, 1515 ( [...]
Hengstmann, E., Gräwe, D., Tamminga, M., and Fischer, E. K.(2017). Marine litter abundance and distribution on beaches on the Isle of Rügen considering the influence of exposition, morphology and [...]
Garcia-Garin, O., Monleón-Getino, T., López-Brosa, P., Borrell, A., Aguilar, A., Borja-Robalino, R., Cardona, L., and Vighi, M. (2021). Automatic detection and quantification of floating marine [...]
Garcia-Garin, O., Aguilar, A., Borrell, A., Gozalbes, P., Lobo, A., Penadés-Suay, J., Raga, J. A., Revuelta, O., Serrano, M., and Vighi, M. (2020). Who’s better at spotting? A comparison between [...]
Geraeds, M.; van Emmerik, T.; de Vries, R. and bin Ab Razak, M.S. (2019). Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs). Remote Sens. 11, 2045, [...]
Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., and Galli, P.(2019). Anthropogenic marine debris assessment with unmanned aerial vehicle imagery and deep learning: A case [...]