Correlation estimation for remote sensing compressed-sensed video sampling

Sheng-liang Li; Kun Liu; Li Zhang; Jie Wang; Zhi-zhou Zhang; Da-peng Han

doi:10.1117/1.JEI.23.6.063007

18 November 2014 Correlation estimation for remote sensing compressed-sensed video sampling

Sheng-liang Li, Kun Liu, Li Zhang, Jie Wang, Zhi-zhou Zhang, Da-peng Han

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 6, 063007 (November 2014). https://doi.org/10.1117/1.JEI.23.6.063007

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.

Citation Download Citation

Sheng-liang Li, Kun Liu, Li Zhang, Jie Wang, Zhi-zhou Zhang, and Da-peng Han "Correlation estimation for remote sensing compressed-sensed video sampling," Journal of Electronic Imaging 23(6), 063007 (18 November 2014). https://doi.org/10.1117/1.JEI.23.6.063007

Published: 18 November 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available