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.

First sky map from NASA's SPHEREx observatory

NASA's SPHEREx Observatory has mapped the entire sky in 102 infrared colors, as seen here in this image released on Dec. 18, 2025. This image features a selection of colors emitted primarily by stars (blue, green, and white), ...

Photo: NASA ER-2 pilot prepares for GEMx flight

NASA ER-2 pilot Kirt Stallings waits inside the transport vehicle moments before boarding the airborne science aircraft at NASA's Armstrong Flight Research Center in Edwards, California, on Thursday, Aug. 21, 2025. Outside ...

A compact space spectrometer for sustainable agriculture

Researchers at Fraunhofer IOF in collaboration with Airbus have developed a hyperspectral spectrometer as part of the "Rainbow" project. The technology enables the creation of digital field maps that can be used in agriculture ...

A tiny chip that can help us see deeper into space

A new imaging system could help us see deeper into the universe than ever before. The same powerful technology could also help us analyze the chemical makeup of everyday materials such as food and medicines much faster and ...

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.

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