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Journal of Central South University

, Volume 18, Issue 3, pp 809–815 | Cite as

Super-resolution reconstruction of synthetic-aperture radar image using adaptive-threshold singular value decomposition technique

  • Zheng-wei Zhu (朱正为)Email author
  • Jian-jiang Zhou (周建江)
Article

Abstract

A super-resolution reconstruction approach of radar image using an adaptive-threshold singular value decomposition (SVD) technique was presented, and its performance was analyzed, compared and assessed detailedly. First, radar imaging model and super-resolution reconstruction mechanism were outlined. Then, the adaptive-threshold SVD super-resolution algorithm, and its two key aspects, namely the determination method of point spread function (PSF) matrix T and the selection scheme of singular value threshold, were presented. Finally, the super-resolution algorithm was demonstrated successfully using the measured synthetic-aperture radar (SAR) images, and a Monte Carlo assessment was carried out to evaluate the performance of the algorithm by using the input/output signal-to-noise ratio (SNR). Five versions of SVD algorithms, namely 1) using all singular values, 2) using the top 80% singular values, 3) using the top 50% singular values, 4) using the top 20% singular values and 5) using singular values s such that s2≥max(s2)/rinSNR were tested. The experimental results indicate that when the singular value threshold is set as smax/(rinSNR)1/2, the super-resolution algorithm provides a good compromise between too much noise and too much bias and has good reconstruction results.

Key words

synthetic-aperture radar image reconstruction super-resolution singular value decomposition adaptive-threshold 

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Copyright information

© Central South University Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Zheng-wei Zhu (朱正为)
    • 1
    • 2
    Email author
  • Jian-jiang Zhou (周建江)
    • 1
  1. 1.College of Information Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.School of Information EngineeringSouthwest University of Science and TechnologyMianyangChina

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