Hyperspectral Classification of Recyclable Plastics in Industrial Setups
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34111-3_35
Reference14 articles.
1. Bashkirova, D., et al.: ZeroWaste dataset: towards deformable object segmentation in cluttered scenes. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 21147–21157 (2022)
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3. Capobianco, G., Bonifazi, G., Serranti, S., Palmieri, R.: Hyperspectral imaging applied to the waste recycling sector. Spectro. Eur. 31, 8–11 (2019)
4. Henriksen, M.L., Karlsen, C.B., Klarskov, P., Hinge, M.: Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning. Vib. Spectrosc. 118, 103329 (2022)
5. Honkavaara, E., et al.: Digital airborne photogrammetry-a new tool for quantitative remote sensing?-A state-of-the-art review on radiometric aspects of digital photogrammetric images. Remote Sens. 1(3), 577–605 (2009)
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