A set of hyperspectral image data are made available, intended for use in modeling of imaging systems. The set contains images of faces, landscapes and buildings. The data cover wavelengths from 0.4 to 2.5 micrometers, spanning the visible, NIR and SWIR electromagnetic spectral ranges. The images have been recorded with two HySpex line-scan imaging spectrometers covering the spectral ranges 0.4 to 1 micrometers and 1 to 2.5 micrometers. The hyperspectral data set includes measured illuminants and software for converting the radiance data to estimated reflectance.
The full set of floating-point image data represent a very large volume of data which cannot be realistically posted for online access at this time. Therefore, we compress the data using the singular value decomposition (SVD) to find a relatively small set of spectral basis functions and corresponding coefficients that account for 99.99% of the variance for each hyperspectral image.
The compressed data along with Matlab code to decompress the data are available for download.
- Faces (captured from 1 meter): Visible range (415 nm – 950 nm)
- Faces (captured from 3 meters): Visible range (415 nm – 950 nm)
- Landscape: Visible range (415 nm – 950 nm)
- Memorial Church Facade: Visible range (415 nm – 950 nm)
- Fruit and Color Target: Visible range (415 nm – 950 nm)
For information about data calibration and compression, see the reference below