Hyperspectral Database – Early Access

The ICVL website is currently undergoing renovations, in order to allow rapid access to the database described in “Sparse Recovery of Hyperspectral Signal from Natural RGB Images“, we provide a list of flies below.

The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning. At this time it contains 201 images and will continue to grow progressively.

Images were collected at 1392×1300 spatial resolution over 519 spectral bands (400-1,000nm at roughly 1.25nm increments). The .raw files contain raw out-of-camera data in ENVI format and .hdr files contain the headers required to decode them. For your convenience, .mat files are provided, downsampled to 31 spectral channels from 400nm to 700nm at 10nm increments.

This page will be updated shortly with additional information.

For questions, comments and technical assistance, please comtact iCVL@cs.bgu.ac.il 

When used, fully or partially, please cite “Arad and Ben-Shahar, Sparse Recovery of Hyperspectral Signal from Natural RGB Images, in the European Conference on Computer Vision, Amsterdam, The Netherlands, October 11–14, 2016”

@inproceedings{arad_and_ben_shahar_2016_ECCV,
  title={Sparse Recovery of Hyperspectral Signal from Natural RGB Images},
  author={Arad, Boaz and Ben-Shahar, Ohad},
  booktitle={European Conference on Computer Vision},
  pages={19--34},
  year={2016},
  organization={Springer}
}

File lists including the category subsets (urban, rural, etc.) listed in the above paper can be found here.
*RGB renderings are for reference only, and do not depict an expected camera response.

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