In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning

Author:

Amariei Georgiana,Henriksen Martin Lahn,Friis Jakob Brøndum,Pedersen Pernille Klarskov,Hinge Mogens

Funder

Innovationsfonden

Aarhus Universitet

Publisher

Elsevier BV

Subject

Pollution,Aquatic Science,Oceanography

Reference54 articles.

1. Estimation of pigment concentration in LDPE via in-line hyperspectral imaging and machine learning;Amariei;J. Spectr Imaging,2023

2. The New Plastics Economy;Andersen,2019

3. The identification of synthetic organic red pigments in historical plastics: developing an in situ analytical protocol based on raman microscopy;Angelin;J. Raman Spectrosc.,2021

4. Hyperspectral imaging and spectral classification for pigment identification and mapping in paintings by El greco and his workshop;Balas;Multimed. Tools Appl.,2018

5. A hierarchical classification approach for recognition of low-density (LDPE) and high-density polyethylene (HDPE) in mixed plastic waste based on short-wave infrared (SWIR) hyperspectral imaging;Bonifazi;Spectrochim. Acta - Part A Mol. Biomol. Spectrosc.,2018

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