Page 2: Research news on hyperspectral imaging

Hyperspectral imaging is an analytical method that acquires images across hundreds of contiguous, narrow spectral bands, typically spanning visible to shortwave infrared wavelengths, to capture detailed spectral signatures at each spatial pixel. Using dispersive optics or tunable filters coupled with calibrated detectors, it generates a three-dimensional datacube (two spatial and one spectral dimension). This enables pixel-wise reflectance or emittance spectra to be extracted and subjected to multivariate analysis, spectral unmixing, and classification algorithms. Hyperspectral imaging is widely used to discriminate materials, quantify chemical composition, and detect subtle spatial heterogeneities in fields such as remote sensing, biomedical imaging, materials characterization, and environmental monitoring.