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Journal of Electronic Imaging

Correlation estimation for remote sensing compressed-sensed video sampling
Author(s): Sheng-liang Li; Kun Liu; Li Zhang; Jie Wang; Zhi-zhou Zhang; Da-peng Han
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Paper Abstract

Compressed sensing (CS) is a new signal processing theory that provides an insight into signal processing. The CS theory has numerous potential applications in various fields, such as image processing, astronomical data analysis, analog-to-information, medical imaging, and remote sensing (RS) imagery. The CS theory is applied to RS video imagery. An RS video based on a compressed sensing (RS-VCS) framework with correlation estimation measurement is proposed, along with a block measurement correlation model and corresponding reconstruction. The linearized Bregman algorithm is used to solve the reconstruction model, and the performance of the RS-VCS framework is simulated numerically.

Paper Details

Date Published: 18 November 2014
PDF: 6 pages
J. Electron. Imag. 23(6) 063007 doi: 10.1117/1.JEI.23.6.063007
Published in: Journal of Electronic Imaging Volume 23, Issue 6
Show Author Affiliations
Sheng-liang Li, National Univ. of Defense Technology (China)
Kun Liu, National Univ. of Defense Technology (China)
Li Zhang, National Univ. of Defense Technology (China)
Jie Wang, National Univ. of Defense Technology (China)
Zhi-zhou Zhang, National Univ. of Defense Technology (China)
Da-peng Han, National Univ. of Defense Technology (China)

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