Hyperspectral imaging as a field is in the process of maturing from a specialized tool to a routine method applied to many facets of society.
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)
Hyperspectral Imaging Standards Workshop, April 16, 2018
Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2016
A workshop on hyperspectral imaging standards was convened on April 22, 2015 at the SPIE DSS Conference in Baltimore, MD. The goal of the workshop was to explore the need for standards in light of the rapid growth in the use of hyperspectral imagers for a wide range of applications. A summary of the workshop will be posted here. If you would like to have your name added to our mailing list for updates to upcoming events, please send your contact information to firstname.lastname@example.org.