Regular Articles

Kronecker compressive sensing-based mechanism with fully independent sampling dimensions for hyperspectral imaging

[+] Author Affiliations
Rongqiang Zhao, Qiang Wang, Yi Shen

Harbin Institute of Technology, Department of Control Science and Engineering, No. 92, Xidazhi Street, Harbin 150000, China

J. Electron. Imaging. 24(6), 063012 (Nov 30, 2015). doi:10.1117/1.JEI.24.6.063012
History: Received July 9, 2015; Accepted October 27, 2015
Text Size: A A A

Abstract.  We propose a new approach for Kronecker compressive sensing of hyperspectral (HS) images, including the imaging mechanism and the corresponding reconstruction method. The proposed mechanism is able to compress the data of all dimensions when sampling, which can be achieved by three fully independent sampling devices. As a result, the mechanism greatly reduces the control points and memory requirement. In addition, we can also select the suitable sparsifying bases and generate the corresponding optimized sensing matrices or change the distribution of sampling ratio for each dimension independently according to different HS images. As the cooperation of the mechanism, we combine the sparsity model and low multilinear-rank model to develop a reconstruction method. Analysis shows that our reconstruction method has a lower computational complexity than the traditional methods based on sparsity model. Simulations verify that the HS images can be reconstructed successfully with very few measurements. In summary, the proposed approach can reduce the complexity and improve the practicability for HS image compressive sensing.

Figures in this Article
© 2015 SPIE and IS&T

Citation

Rongqiang Zhao ; Qiang Wang and Yi Shen
"Kronecker compressive sensing-based mechanism with fully independent sampling dimensions for hyperspectral imaging", J. Electron. Imaging. 24(6), 063012 (Nov 30, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.063012


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.