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 using hyperspectral sensing on drone / Scalia, Riccardo; Moroni, Monica; Conti, Livio; Bouchelaghem, Soufyane; Balsi, Marco. - (2023). [10.36227/techrxiv.22717141.v1]

Real-time plastic litter detection using hyperspectral sensing on drone

moroni, Monica
;
Bouchelaghem, Soufyane
;
Balsi, Marco
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.
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1698258
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