Page 3: 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.

Thermal drones boost detection of entangled seals

New research from Monash University and Phillip Island Nature Parks is using thermal and infrared drone technology to spot marine debris entanglements in Australian fur seals. Entanglement is an escalating threat to marine ...

Trapping light on thermal photodetectors shatters speed records

Electrical engineers at Duke University have demonstrated the fastest pyroelectric photodetector to date, which works by absorbing heat generated by incoming light. Capable of capturing light from the entire electromagnetic ...

NASA's SPHEREx mission spots 3I/ATLAS's bright envelope

NASA's Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer (SPHEREx) was built for the ambitious purpose of performing an all-sky survey. The data it collects from more than 450 million ...

Empowering an AI foundation model to accelerate plant research

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging data. The advance removes ...

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