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. [2][3] There are three …

May 14, 2024 · Typically, spectral imaging is categorized into multispectral, which involves sampling fewer than 20 wavelength bands, and hyperspectral, which encompasses sampling more than 20 …

Hyperspectral imaging lets us differentiate between materials with similar physical or visual characteristics or what the human eye cannot see, such as different minerals.

Jun 30, 2024 · Hyperspectral imaging sensors have a higher spectral resolution than multispectral imaging sensors and therefore they provides the ability to differentiate between huge subtle …

Aug 1, 2025 · Hyperspectral data is an imaging technique that collects and processes information across the electromagnetic spectrum. This method goes beyond what the human eye can perceive, …

Jul 23, 2025 · Multispectral imaging captures a limited number of discrete wavelengths, whereas hyperspectral imaging captures a continuous spectrum.

Hyperspectral imaging measures how materials reflect and absorb light across hundreds of narrow wavelengths, capturing a continuous spectral fingerprint for every pixel.