@inproceedings{521b2bff45474d9fb8c691f3ff02a65c,
title = "Hyperspectral compressive imaging",
abstract = "Hyperspectral imaging is a natural field for the implementation of compressive sensing because typical captured hyperspectral datacubes involve large amount of data which is also often very redundant. Compressive hypersepctral systems compress the hyperspectral data already in the acquisition step, thus remedy the severe storage and processing requirements typical to conventional hypersepctral imaging systems. In this paper we overview some hyperspectral compressive imaging techniques that we have developed.",
keywords = "compressed sensing, compressive imaging, compressive sensing, computational imaging",
author = "Adrian Stern and August Yitzhak and Vladimir Farber and Yair Rivenson",
year = "2013",
month = oct,
day = "17",
doi = "https://doi.org/10.1109/WIO.2013.6601243",
language = "American English",
isbn = "9781479907687",
series = "WIO 2013 - 12th Workshop on Information Optics, Proceedings",
booktitle = "WIO 2013 - 12th Workshop on Information Optics, Proceedings",
note = "2013 12th Workshop on Information Optics, WIO 2013 ; Conference date: 15-07-2013 Through 19-07-2013",
}