Introduction to Hyperspectral and Multispectral Imaging
Hyperspectral and Multispectral Imaging is the technique of acquiring a 2D image where every pixel in the image contains a continuous spectrum. A regular camera records three spectral channels in every pixel (red, green, and blue), while hyperspectral imagers record hundreds of spectral channels.
Hyperspectral and Multispectral Imaging is useful because different materials have unique reflectance spectra, as do different plant species. Hyperspectral images can thus be used to identify various constituents in an image. Hyperspectral and Multispectral Imaging is also used to detect shifts in reflectance spectra due to external influences, for example crop health effects due to drought and insect infestation.
Telops MS IR Combustion
Resonon's Pika L Airborne Hyperspectral System
Focusing Resonon's hyperspectral benchtop imaging system
Calibrating Resonon's hyperspectral benchtop imaging system
Setting the Aspect Ratio on Resonon's hyperspectral benchtop imaging system
Scanning and Saving hyperspectral datacubes with Resonon's SpectrononPro software
Basic data analysis and hyperspectral classification using Resonon's SpectrononPro software
Hyperspectral Imaging Technology | Resonon
Webinars
Time-Resolved Infrared Multispectral Imaging of Gases and Minerals
Application Notes, Papers
Thermal Infrared Multispectral Imaging of Minerals (2015)
Time-Resolved Multispectral Imaging of Combustion Reactions (2015)
Time-resolved Multispectral Imaging of Gases
Lenses Data Sheet R8
Resonon Fluorescence Dye
Resonon Hyperspectral Tutorial
Resonon Microbial Whitepaper
Resonon Weeds Whitepaper
SNR Discussion v4
2016 Coffee characterisation
Multispectral Imaging of Gases and Minerals
