The properties of materials can be easily identified, detected or analysed by examining how light interacts with the materials depending on the spectral signatures. Each spectral signatures of every material differ from each other similar to finger prints of every human being. The spectral can be recognized from the spectrum of the material to understand the amount of light reflected, transmitted or emitted at different wavelength.
The technique of spectral imaging combines spectral measurement with digital imaging. Spectral imaging camera captures light in small wavelength starting from UV and through the visible and infrared regions of the spectrum. This capability enables to easily identity and separate visual indistinguishable substances found in the material by color or chemical difference.
Spectral imaging can be categorized into Multispectral Imaging (MSI) and Hyperspectral Imaging (HSI). The main difference between MSI and HSI is their spectral resolution. An HSI camera measures light in numerous narrow bands of wavelength continuously, while an MSI camera measures only a discrete number of wavelength bands.
SPECTRAL IMAGING FOR RESEARCH
Hyperspectral imaging is used in wide research areas like life science, vegetation research, precision agriculture, forensics, food and feed analysis, mineral exploration, and for developing new recycling research methods. The spectral camera is used to identify, measure, and map the biological, chemical, and physical properties of the objects in research.
BENEFITS OF SPECTRAL IMAGING
Hyperspectral Imaging offers accurate, reliable and highly advanced tools for research that helps researchers, scientist and key decision makers. Its multidisciplinary way to analyse wide array of samples ranging from minor samples to large areas in non-invasive and non-destructive manner.
Our system are compact, economical and easy to use. The development of artificial intelligence has enabled data processing and analysis methods like neural networks to be used for hyperspectral data interpretation.
