Page 5: Research news on multispectral imaging

Multispectral imaging is an optical acquisition method that records scene radiance or reflectance in multiple discrete spectral bands, typically spanning the visible, near-infrared, and sometimes shortwave infrared regions. Using bandpass filters, tunable filters, or sensor arrays with spectrally selective elements, it generates co-registered images where each band captures wavelength-dependent material properties. Quantitative analysis of these bands enables spectral feature extraction, classification, and segmentation based on differences in absorption, scattering, or fluorescence. In research, multispectral imaging is applied to non-destructive assessment, tissue characterization, remote sensing, and cultural heritage analysis, often serving as a lower-complexity, higher-throughput alternative to full hyperspectral imaging.

PACE mission reveals a year of terrestrial data on plant health

A lot can change in a year for Earth's forests and vegetation, as springtime and rainy seasons can bring new growth, while cooling temperatures and dry weather can bring a dieback of those green colors. And now, a novel type ...

Video: Tracking disease progression in technicolor

Photon-counting CT scanning is the next-generation of computer tomography diagnostics, providing precise, multi-color imaging to simultaneously track biological processes.

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.

Organic infrared photodetectors offer advance in imaging technology

The demand for high pixel-count, low-cost focal-plane arrays in the near-infrared (NIR) and short-wavelength infrared (SWIR) spectra has surged due to their potential applications in AI-driven technologies such as 3D face-identification, ...

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