Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum, much broader than the RGB spectrum that our eyes can see. 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, identifying materials, or detecting processes.
Spectral imaging divides the spectrum into many more bands. This technique of dividing images into bands can be extended beyond the visible. In hyperspectral imaging, the recorded spectra have fine wavelength resolution and cover a wide range of wavelengths. Hyperspectral imaging measures contiguous spectral bands, as opposed to multispectral imaging which measures spaced spectral bands.
VeriDaaS’s hyperspectral partner utilizes hyperspectral sensors and processing systems to collect data that is often used in conjunction with imagery and LiDAR data for applications such as agriculture – vegetation & environmental, geology & minerals, oil & gas and surveillance. Follow this link for more information: https://www.spectir.com/services#services-geo