Researchers have developed a new hyperspectral Raman imaging lidar system that can remotely detect and identify various types of plastics. This technology could help address the critical issue of ...

In a recent study published in the Journal of Applied Remote Sensing, researchers from the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology developed a bimodal ...

If you’ve shopped for optical sorters in the last decade, “hyperspectral imaging” likely is a term you have encountered in some suppliers’ literature and on their websites. Hyperspectral imaging ...

Chase Cañas, a Ph.D. student in the Chester F. Carlson Center for Imaging Science, presented “Multivariate methods to explore system sensitivities for hyperspectral subpixel target detection” at the ...

New technology could remotely identify various types of plastics, offering a valuable tool for future monitoring and analysis of oceanic plastic pollution. A new hyperspectral Raman imaging lidar ...