Quantitative and qualitative comparison of SAR images from incomplete measurements using compressed sensing and nonuniform FFT

Hamed Kajbaf, Joseph T. Case, Yahong Rosa Zheng, Sergey Kharkovsky, Reza Zoughi

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    20 Citations (Scopus)

    Abstract

    ![CDATA[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.]]
    Original languageEnglish
    Title of host publication2011 IEEE Radar Conference (RADAR): In the Eye of the Storm, RadarCon'11: Westin Crown Center, Kansas City, MO
    PublisherIEEE
    Pages592-596
    Number of pages5
    ISBN (Print)9781424489022
    DOIs
    Publication statusPublished - 2011
    EventIEEE National Radar Conference -
    Duration: 23 May 2011 → …

    Publication series

    Name
    ISSN (Print)1097-5659

    Conference

    ConferenceIEEE National Radar Conference
    Period23/05/11 → …

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