OMHS - The Objects Mosaic Hyperspectral Database

Citation Author(s):
Jonathan
Hauser
Gal
Shtendel
Amit
Zeligman
Amir
Averbuch
Menachem
Nathan
Moshe
Salhov
Submitted by:
Jonathan Hauser
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/36g6-r506
Research Article Link:
SHS-GAN: Synthetic Enhancement of a Natural Hyperspectral Database
License:
Creative Commons Attribution
517 Views
Categories:
Artificial Intelligence
Image Processing
Sensors
Keywords:
Hyperspectral Imaging, Deep Learning
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Abstract 

The Objects Mosaic Hyperspectral Database contains 10,666 hyperspectral cubes of size 256x256x29 in the 420-700nm spectral range. This original hyperspectral database of real objects was experimentally acquired as described in the paper "SHS-GAN: Synthetic enhancement of a natural hyperspectral database", by J. Hauser, G. Shtendel, A. Zeligman, A. Averbuch, and M. Nathan, in the IEEE Transactions on Computational Imaging.

In addition, the database contains the SHS-GAN algorithm, which enables to generate synthetic database of hyperspectral images. 

Instructions: 

- The file OMHS_Database.zip contains a zipped folder with the 10,666 hyperspectral cubes, saved in .mat file format.

- The file SHS-GAN_Algorith.zip contains a zipped folder with the scripts and functions for running and testing the SHS-GAN algorithm. 

Comments

thanks!

Submitted by rong liang on Mon, 10/21/2024 - 07:52

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