A hyperspectral sensing system operating in the SWIR band (900-1700nm) was previously developed for drone- based detection of plastic litter in the environment. The detection software is based on a 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. In this paper, we report on implementation of plastics litter detection in real time, while the drone is flying.
Real-time plastic litter detection using hyperspectral sensing on drone / Balsi, Marco; Bouchelaghem, Soufyane; Conti, Livio; Moroni, Monica; Scalia., Riccardo. - (2023). (Intervento presentato al convegno Workshop on Hyperspectral Imaging and Signal Processing: an Evolution in Remote Sensing" (WHISPERS 2023) tenutosi a Greece, Athens.) [10.1109/WHISPERS61460.2023.10431217].
Real-time plastic litter detection using hyperspectral sensing on drone.
Marco Balsi
;Soufyane Bouchelaghem
;Monica Moroni
;
2023
Abstract
A hyperspectral sensing system operating in the SWIR band (900-1700nm) was previously developed for drone- based detection of plastic litter in the environment. The detection software is based on a 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. In this paper, we report on implementation of plastics litter detection in real time, while the drone is flying.| File | Dimensione | Formato | |
|---|---|---|---|
|
Balsi_Real-time_2024.pdf
accesso aperto
Note: articolo
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
302.55 kB
Formato
Adobe PDF
|
302.55 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
