Hyperspectral Image Data

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.

Scene data

Matlab code for reading and analyzing the data

For information about data calibration and compression, see the reference below