Hyperspectral Imaging System

Hyperspectral imaging systems capture detailed spectral information across numerous wavelengths, offering significantly richer data than traditional cameras for applications ranging from remote sensing to medical imaging. Current research focuses on developing more compact and cost-effective systems, often employing novel filter designs and active illumination techniques, alongside advanced deep learning models like U-Nets and transformers for efficient data processing and reconstruction from compressed or incomplete measurements. These improvements are driving advancements in material identification, change detection, and atmospheric monitoring, with significant implications for various scientific disciplines and practical applications.