NUFFT-Based iterative reconstruction algorithm for synthetic aperture imaging radiometers

Xi Zhou*, Houjun Sun, Jiwei He, Xin Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Synthetic aperture imaging radiometers (SAIRs) are powerful sensors for high-resolution observation of the Earth at low microwave frequencies. However, the future application of this new technology is limited by its large number of element antennas and receiving channels. In order to further reduce the complexity of the whole system, the circular and rotating array configurations have been proposed. Their disadvantages lie primarily in more complicated image reconstruction, because the conventional fast Fourier transform (FFT) method could not be used directly for image reconstruction. This letter introduces an iterative method for the reconstruction of radiometric brightness temperature maps from nonuniform visibility function samples. This method combines the conjugate gradient algorithm with minmax nonuniform FFT approach, which has been shown to provide considerably improved image quality relative to the traditional gridding method. Simulations for SAIRs were performed and showed better image quality in comparison to the traditional frequency interpolation method.

Original languageEnglish
Article number4768709
Pages (from-to)273-276
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume6
Issue number2
DOIs
Publication statusPublished - Apr 2009

Keywords

  • Antenna arrays
  • Image reconstruction
  • Microwave radiometry
  • Synthetic aperture imaging

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Zhou, X., Sun, H., He, J., & Lu, X. (2009). NUFFT-Based iterative reconstruction algorithm for synthetic aperture imaging radiometers. IEEE Geoscience and Remote Sensing Letters, 6(2), 273-276. Article 4768709. https://doi.org/10.1109/LGRS.2008.2012123