Hyperspectrumbeelden

Hyperspectrumbeelden, also known as hyperspectral imaging, is a technique used to collect and process information from the electromagnetic spectrum. Unlike traditional color images that capture light in three broad bands (red, green, and blue), hyperspectral imaging captures data across hundreds of narrow, contiguous spectral bands. This creates a "spectral signature" for each pixel in the image, which is a detailed profile of how the material reflects, absorbs, or emits light at different wavelengths.

The process typically involves a hyperspectral sensor, often mounted on an aerial platform such as an aircraft or satellite, or used in a laboratory setting. As the sensor moves over an area, it records light from each pixel across its entire spectral range. This results in a three-dimensional data cube, where two dimensions represent spatial information (width and height) and the third dimension represents spectral information (wavelength).

The detailed spectral signatures obtained from hyperspectrumbeelden allow for the identification and differentiation of materials that may appear identical to the human eye or in conventional imagery. This capability has wide-ranging applications. In agriculture, it can be used to monitor crop health, detect disease, and assess nutrient deficiencies. In environmental monitoring, it aids in identifying pollution sources, mapping vegetation types, and studying water quality. Other fields benefiting from hyperspectral imaging include geology for mineral exploration, military for target detection and identification, and medical imaging for disease diagnosis. The analysis of hyperspectral data often requires specialized software and algorithms to extract meaningful information from the rich spectral datasets.