Compressive sensing for a general SAR imaging model based on Maxwell’s equations

Bing Sun; Haicheng Gu; Mengqi Hu; Zhijun Qiao

doi:10.1117/12.2177845

14 May 2015 Compressive sensing for a general SAR imaging model based on Maxwell’s equations

Bing Sun, Haicheng Gu, Mengqi Hu, Zhijun Qiao

Proceedings Volume 9484, Compressive Sensing IV; 948402 (2015) https://doi.org/10.1117/12.2177845
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell's equations. After the consideration of the general echo model in frequency domain, a compressive sensing (CS) matrix is constructed from random partial Fourier matrices for processing the range CS SAR imaging. Simulations validate the orthogonality of the proposed CS matrix and the CS SAR imaging based on the general echo model.

Citation Download Citation

Bing Sun, Haicheng Gu, Mengqi Hu, and Zhijun Qiao "Compressive sensing for a general SAR imaging model based on Maxwell’s equations", Proc. SPIE 9484, Compressive Sensing IV, 948402 (14 May 2015); https://doi.org/10.1117/12.2177845

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