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Correlation estimation for remote sensing compressed-sensed video sampling

[+] Author Affiliations
Sheng-liang Li

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

Kun Liu

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

Li Zhang

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

Jie Wang

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

Zhi-zhou Zhang

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

Da-peng Han

National University of Defense Technology, Institute of Space Technology, College of Aerospace Science and Engineering, Deya Road, Changsha 410073, China

J. Electron. Imaging. 23(6), 063007 (Nov 18, 2014). doi:10.1117/1.JEI.23.6.063007
History: Received March 28, 2014; Revised August 11, 2014; Accepted September 9, 2014
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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.

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© 2014 SPIE and IS&T

Citation

Sheng-liang Li ; Kun Liu ; Li Zhang ; Jie Wang ; Zhi-zhou Zhang, et al.
"Correlation estimation for remote sensing compressed-sensed video sampling", J. Electron. Imaging. 23(6), 063007 (Nov 18, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.6.063007


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