A hyperspectral sensing system operating in the SWIR band (900-1700nm) was developed for drone-based detection of plastic litter in the environment. The detection software is based on a multiple linear classifier trained on examples, that detects plastics and transmits information to a ground station that visualizes on a map the location of points surveyed, labeled as plastics where applicable.
Real-time plastic litter detection and localization from drone for cleanup assistance / Balsi, Marco; Bouchelaghem, Soufyane; Conti, Livio; Moroni, Monica; Scalia, Riccardo. - (2023). (Intervento presentato al convegno Remote Sensing for Marine Litter Workshop 2023 tenutosi a ESA Conference Bureau Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands).
Real-time plastic litter detection and localization from drone for cleanup assistance
Marco Balsi
;Soufyane Bouchelaghem
;Monica Moroni
;
2023
Abstract
A hyperspectral sensing system operating in the SWIR band (900-1700nm) was developed for drone-based detection of plastic litter in the environment. The detection software is based on a multiple linear classifier trained on examples, that detects plastics and transmits information to a ground station that visualizes on a map the location of points surveyed, labeled as plastics where applicable.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
