 Multispectral imaging

Multispectral imaging records spatial images in several selected wavelength bands. An optical filter array, separate filtered optical paths or a tunable selection mechanism lets different detector channels sample different portions of the optical spectrum.

Comparing red and near-infrared spectral reflectance can distinguish vegetation-like responses from some other surfaces, but measured channel values also depend on illumination, atmosphere and sensor response. The bands must sample corresponding locations: motion between sequential exposures can create apparent spectral differences at edges. More bands add information only when their calibration, spatial sampling and signal-to-noise ratio support the intended comparison.

Multispectral imaging is a technique that captures image data at specific frequency ranges across the electromagnetic spectrum. Unlike traditional imaging that typically uses only visible light, multispectral imaging collects data across multiple wavelengths, including ultraviolet, visible, and infrared light. The key features of multispectral imaging include: 1. **Multiple Wavelengths**: Multispectral cameras capture data from several discrete bands, usually ranging from 3 to 10 different wavelengths, though some systems may capture more.