Compressive hyperspectral acquisition and endmember unmixing

Ting Sun; Chengbo Li; Yin Zhang; Lina Xu; Kevin Kelly

doi:10.1117/12.894180

13 September 2011 Compressive hyperspectral acquisition and endmember unmixing

Ting Sun, Chengbo Li, Yin Zhang, Lina Xu, Kevin Kelly

Proceedings Volume 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems; 81650D (2011) https://doi.org/10.1117/12.894180
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

A new hyperspectral imaging system is constructed based on the idea of compressive sensing (CS). The compressed hyperspectral measurements are acquired and unmixed directly with the proposed algorithm which determines the abundance fractions of endmembers, completely bypassing high-complexity tasks involving the hyperspectral data cube itself. Without the intermediate stage of 3D hyper-cube processing, data reconstruction and unmixing are combined into a single step of much lower complexity. We assume that the involved endmembers' signatures are known and given, from which we then directly compute abundances. We also extend this approach to blind unmixing where endmembers' signatures are not precisely known a priori.

Citation Download Citation

Ting Sun, Chengbo Li, Yin Zhang, Lina Xu, and Kevin Kelly "Compressive hyperspectral acquisition and endmember unmixing", Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81650D (13 September 2011); https://doi.org/10.1117/12.894180

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