Subpixel SAR image registration through parabolic interpolation of the 2D cross-correlation

Luca Pallotta, Gaetano Giunta, Carmine Clemente

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Abstract

In this paper the problem of Synthetic Aperture Radar (SAR) images coregistration is considered. In particular, a novel algorithm aimed at achieving a fine sub-pixel coregistration accuracy is developed. The procedure is based on the parabolic interpolation of the 2D cross-correlation computed between the two SAR images to be aligned. More precisely, from the Two- Dimensional (2D) cross-correlation, a neighborhood of its peak value is extracted and the interpolation of both the 2D paraboloid and the two alternative 1D parabolas are computed to provide the finer misregistration estimation with a sub-pixel accuracy. The main advantage of the proposed framework is that the overall computational burden is only due to the 2D cross-correlation estimation since the parabolic interpolation is calculated with a closed-form expression. The results obtained on real recorded Unmanned Aerial Vehicle (UAV) SAR data highlight the effectiveness of the proposed approach as well as its capabilities to provide some benefits with respect to other available strategy.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Early online date15 Jan 2020
DOIs
Publication statusE-pub ahead of print - 15 Jan 2020

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Keywords

  • synthetic aperture radar
  • SAR coregistration
  • 2D cross-correlation
  • parabolic interpolation
  • sub-pixel coregistration
  • UAV SAR

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