Hyperspectral Camera

Hyperspectral cameras capture images across a wide range of wavelengths, providing significantly more spectral information than traditional RGB cameras. Current research focuses on improving data processing, including developing advanced algorithms like U-Net and Vision Transformers for tasks such as unmixing, denoising, and super-resolution, often leveraging deep learning techniques and self-supervised approaches to overcome limitations in data acquisition and computational resources. These advancements are driving applications in diverse fields, such as precision agriculture, medical imaging, and remote sensing, by enabling more accurate and efficient analysis of complex scenes and materials. The development of cost-effective and compact hyperspectral cameras is also a significant area of ongoing research.