Hyperspektral Bildgebung (HSI) is an fortschrittliches Bildgebungsverfahren that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging methods that typically capture images in three color bands (red, green, and blue), hyperspectral imaging collects data in many more wavelengths—often hundreds—ranging from visible light to infrared and beyond. This allows for a detailed spectral analysis of the materials within the image, providing insights that are not visible to the naked eye.
Das grundlegende Prinzip der hyperspektralen Bildgebung beinhaltet die use of a sensor that can record the intensity of light at each wavelength for every pixel in the image. This results in a three-dimensional data cube where two dimensions correspond to the spatial dimensions of the image, and the third dimension corresponds to the different wavelengths. Each pixel in this data cube contains spectral information that can be analyzed to determine the composition, structure, and other properties of the materials being imaged.
Hyperspektrale Bildgebung hat eine Vielzahl von Anwendungen in verschiedenen Bereichen. In agriculture, it is used for monitoring crop health, detecting diseases, and assessing soil properties. In Umweltwissenschaften, HSI helps in mapping and monitoring vegetation, water quality, and mineral resources. Furthermore, in the medical field, it can assist in diagnosing diseases by analyzing tissue properties. The ability to capture and analyze data across numerous wavelengths makes hyperspectral imaging a powerful tool for wissenschaftliche Forschung, industrial applications, and environmental monitoring.