Hyperspektrale

Hyperspektrale refers to hyperspectral imaging, a technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional cameras that capture images in a few broad spectral bands (like red, green, and blue), hyperspectral imaging collects data in hundreds of narrow, contiguous spectral bands. This allows for the precise identification and characterization of materials based on their unique spectral signatures, which are essentially fingerprints in the form of how they reflect or emit light at different wavelengths.

The process typically involves a hyperspectral sensor that records light intensity for each pixel across a wide range of wavelengths. This results in a hyperspectral cube, where two dimensions represent spatial information (x and y) and the third dimension represents spectral information (wavelength). Analyzing this cube allows scientists and engineers to extract detailed information about the composition, structure, and condition of objects or scenes.

Hyperspectral imaging has found applications in numerous fields. In remote sensing, it is used for land cover mapping, mineral exploration, vegetation health monitoring, and detecting environmental pollution. In industry, it aids in quality control for food, pharmaceuticals, and manufacturing, allowing for the detection of foreign bodies or defects. In medicine, it is being explored for disease diagnosis and surgical guidance. The detailed spectral information provided by hyperspectral imaging offers a significant advantage over conventional imaging techniques for tasks requiring precise material identification and analysis.