Spatial versus spectral compression ratio in compressive sensing of hyperspectral imaging

Yitzhak August; Chaim Vachman; Adrian Stern

doi:10.1117/12.2017949

31 May 2013 Spatial versus spectral compression ratio in compressive sensing of hyperspectral imaging

Yitzhak August, Chaim Vachman, Adrian Stern

Proceedings Volume 8717, Compressive Sensing II; 87170G (2013) https://doi.org/10.1117/12.2017949
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Compressive hyperspectral imaging is based on the fact that hyperspectral data is highly redundant. However, there is no symmetry between the compressibility of the spatial and spectral domains, and that should be taken into account for optimal compressive hyperspectral imaging system design. Here we present a study of the influence of the ratio between the compression in the spatial and spectral domains on the performance of a 3D separable compressive hyperspectral imaging method we recently developed.

Citation Download Citation

Yitzhak August, Chaim Vachman, and Adrian Stern "Spatial versus spectral compression ratio in compressive sensing of hyperspectral imaging", Proc. SPIE 8717, Compressive Sensing II, 87170G (31 May 2013); https://doi.org/10.1117/12.2017949

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