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Experimental performance assessment on plastic differentiability using polarimetric hyperspectral images
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A polarimetric hyperspectral imaging system was designed to capture polarization-resolved spectral data of plastics, with spectral unmixing techniques applied to identify plastic components in complex scenes. The study examines how polarization information enhances material discrimination for detecting and classifying plastic waste in aquatic environments.
Plastic pollution poses a global environmental challenge with profound ecological and societal impacts. Hyperspectral imaging (HSI) combined with polarimetry offers a promising approach for detecting, classifying, and quantifying plastic waste in aquatic environments. This study presents the design of a system to capture polarimetric spectral hypercubes and employs spectral unmixing techniques to identify plastic components in complex scenes. In addition to integrating polarization into the data acquisition pipeline, we investigate its effects on spectral analysis and material discrimination, providing insights into its utility for enhancing plastic detectability.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.