Systematic reduction of hyperspectral images for high-throughput plastic characterization.

ABSTRACT: Hyperspectral Imaging (HSI) combines microscopy and spectroscopy to assess the spatial distribution of spectroscopically active compounds in objects, and has diverse applications in food quality control, pharmaceutical processes, and waste sorting. However, due to the large size of HSI datasets, it can be challenging to analyze and store them within a reasonable digital infrastructure, especially in waste sorting where speed and data storage resources are limited. Additionally, as with most spectroscopic data, there is significant redundancy, making pixel and variable selection crucial for retaining chemical information. Recent high-tech developments in chemometrics enable automated and evidence-based data reduction, which can substantially enhance the speed and performance of Non-Negative

SUBMITTER: Ghaffari M 

PROVIDER: S-EPMC10703868 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature