There has been a surge in interest in hyperspectral imaging for the use in environmental monitoring, medical imaging, and manufacturing, as several examples. Standards provide common reference points that foster an understanding between different entities. The range of standards encompass all aspects related to hyperspectral imaging and may include performance specifications, calibration standards, data formats, terminology, and best practices. This project is a community based effort to provide the foundation needed to allow the full potential of hyperspectral imaging to be realized.
ARCHER (Airborne Real-Time Cueing Hyperspectral Enhanced Reconnaissance), VNIR, 1 m GSD, atmospherically corrected, imagery of the NIST Gaithersburg campus. RGB color composite (left) from HSI datacube and a false color classification map of the major scene components (middle) including grass, trees, roads, and rooftops. A 2D scatter plot x-axis 650 nm, y-axis 750 nm (right) shows inherent variability and of general material classes corresponding to the classification map. (Courtesy: USGS)