Hyperspectral imaging exploits this principle by collecting reflectance data in exceptionally narrow bands spanning visible light, near-infrared, and shortwave-infrared wavelengths. The result is a three-dimensional dataset called a hypercube. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects. Hyperspectral imaging is a technology that captures light across hundreds of narrow, continuous wavelength bands to reveal information invisible to the human eye or a standard camera. Where a regular camera records three bands of light (red, green, blue), a hyperspectral sensor captures 100 or. Hyperspectral imaging is a technique that collects and processes information across the electromagnetic spectrum to obtain the spectrum for each pixel in an image. This allows for the identification of objects and materials by analyzing their unique spectral signatures.
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