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Real-time plastic litter detection using hyperspectral sensing on drone

Authors :
Riccardo scalia
Monica moroni
Livio conti
Soufyane Bouchelaghem
Marco Balsi
Publication Year :
2023
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8f7e1524c982338c957513979449b815
Full Text :
https://doi.org/10.36227/techrxiv.22717141.v1