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.

Hyperspectral sensor pushes weed science a wave further

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system that exceeds human discernment when it comes to measuring herbicide-induced stress in plants.

HYPSO-2 satellite monitors harmful algae from space

It's slightly larger than a 5-liter water bottle, and is whizzing around the Earth at a speed of 7.5 kilometers per second. The satellite has two cameras built into its body, and can be controlled quickly and turned smoothly ...

Silicon metasurfaces unlock broad-spectrum infrared imaging

Infrared imaging technology is crucial for advancing our understanding of the world, from exploring biological specimens to inspecting complex materials and detecting hidden patterns in physical systems.

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