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Real-time plastic litter detection using hyperspectral sensing on drone
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  • Marco Balsi ,
  • Soufyane Bouchelaghem ,
  • Livio conti ,
  • Monica moroni ,
  • Riccardo scalia
Marco Balsi
Sapienza University of Rome

Corresponding Author:[email protected]

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Soufyane Bouchelaghem
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Livio conti
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Monica moroni
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Riccardo scalia
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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.