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Detection of macroplastic on beaches using drones and object-based image analysis

Report
Year of publication
2020
External websites
Cristin
Prosjekt
Fulltekst
Arkiv
Contributors
Bjørn Maaløe Torsvik, Robert Nøddebo Poulsen, Bert van Bavel, Hege Gundersen, Kasper Hancke

Summary

This pilot study demonstrates UAV-based image collection being a promising technology for plastic detection in beach zones and we recommend object-based image analysis and UAV-based data collection being further developed for marine litter detection. Objects of plastic at sizes down to 3.5 x 3.5 cm were segmented and classified successfully corresponding to approximately 4 times the pixel width of the classified images. Overall conclusions should be approached with some caution, due to the relatively few ground truth data points (13-37 geolocated plastic pieces) and their different characteristics regarding color and size.