Hyperspectral characterization of marine plastic litters
- Resource Type
- Conference
- Authors
- Balsi, Marco; Esposito, Salvatore; Moroni, Monica
- Source
- 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea) Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), 2018 IEEE International Workshop on. :28-32 Oct, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Signal Processing and Analysis
Transportation
Plastics
Hyperspectral imaging
Reflectivity
Programmable logic arrays
Shape
Image resolution
marine litter
sea-truth
plastic polymers
hyperspectral imaging
NIR region
- Language
The problem of marine plastic litters is the object of recent worldwide attention and is the object of current decisions of the European Union that require member states to act in a decisive way to improve monitoring and removal of marine plastic litters in the short term. Proximal sensing technologies based on hyperspectral imaging have been introduced as a best practice for marine litter survey and removal planning. The preliminary and mandatory step for their successful application is the characterization of the most diffuse polymers that can be found in industrial and household plastic wastes. Near-infrared (900–1700 nm) reflectance spectra of traditional and bio-based polymers were extracted from hyperspectral images acquired with a two-linear-spectrometer apparatus. Results show that a rapid and reliable identification of the polymers can be achieved by using a simple two near-infrared wavelength operator coupled to an analysis of reflectance spectra.