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.

AI and drones can select the most resilient wheat

Making wheat more resilient to climate change without compromising yields has become an urgent priority for the agricultural sector. Now, a study led by a research team from the University of Barcelona and the Agrotecnio ...

Seven missions launched to test optimized data transfer from space

Eight CubeSats and one payload supported by the European Space Agency (ESA) have reached orbit, where they will demonstrate various applications aimed at improving how data is sent around and processed. Thanks to these demonstrations, ...

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 ...

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