| Hyperspectral Image Database of Real-world Scenes | |
| - 27 Images under artificial or mixed illumination | |
| http://vision.seas.harvard.edu/hyperspec/ | |
| This database contains a MATLAB .mat file for each image, with two | |
| variables: | |
| ref: NxMx31 - Image data for the 31 channels from 420:10:720 nm | |
| lbl: NxM - Mask data, a value of 0 implies that the pixel is masked | |
| out. | |
| There is a calib.txt file which contains a 31x1 vector, corresponding | |
| to sensitivity of the camera. | |
| This database is being released for unrestricted research and academic | |
| use. If you use this data in any publication, we ask that you cite the | |
| following paper: | |
| Ayan Chakrabarti and Todd Zickler, "Statistics of Real-World | |
| Hyperspectral Images," in Proceedings of the IEEE Conference on | |
| Computer Vision and Pattern Recognition (CVPR), 2011. | |
| @conference{chakrabarti2011statistics, | |
| title={{Statistics of Real-World Hyperspectral Images}}, | |
| author={Chakrabarti, A. and Zickler, T.}, | |
| booktitle={Proc.~IEEE Conf.~on Computer Vision and Pattern Recognition (CVPR)}, | |
| pages={193--200}, | |
| year={2011} | |
| } | |
| For any questions, please contact: | |
| Ayan Chakrabarti at [email protected] | |