Quantitative and Qualitative Comparison of SAR Images from Incomplete Measurements using Compressed Sensing and Nonuniform FFT

Abstract

In this paper the performance of two wideband synthetic aperture radar (SAR) imaging methods from incomplete data sets are compared quantitatively and qualitatively. The first approach uses nonuniform fast Fourier transform (NUFFT) SAR to form images from nonuniform spatial and frequency data points. The second approach benefits from the emerging compressed sensing (CS) methodology to recover raw data from undersampled measurements. The results of our experimental tests show that CS has a better performance in terms of error and image contrast while NUFFT SAR has lower computational complexity.

Meeting Name

IEEE Radar Conference: In the Eye of the Storm (2011: May 23-27, Kansas City, MO)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Compressed Sensing; Experimental Test; Frequency Data; Image Contrasts; Imaging Method; Incomplete Data; Incomplete Measurements; Non-Uniform Fast Fourier Transforms; SAR Images; Wide-Band; Computational Complexity; Fast Fourier Transforms; Imaging Systems; Metadata; Radar Imaging; Radar Measurement; Signal Reconstruction; Storms; Synthetic Aperture Radar

International Standard Book Number (ISBN)

978-1424489022

International Standard Serial Number (ISSN)

1097-5659

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2011 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 May 2011

Link to Full Text

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