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

Luca Pallotta, Gaetano Giunta, Carmine Clemente

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
8 Downloads (Pure)

Abstract

In this article, the problem of synthetic aperture radar (SAR) images coregistration is considered. In particular, a novel algorithm aimed at achieving a fine subpixel coregistration accuracy is developed. The procedure is based on the parabolic interpolation of the 2-D cross correlation computed between the two SAR images to be aligned. More precisely, from the 2-D cross correlation, a neighborhood of its peak value is extracted and the interpolation of both the 2-D paraboloid and the two alternative 1-D parabolas is computed to provide the finer misregistration estimation with subpixel accuracy. The main advantage of the proposed framework is that the overall computational burden is only due to the 2-D 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 strategies.

Original languageEnglish
Pages (from-to)4132-4144
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume58
Issue number6
Early online date15 Jan 2020
DOIs
Publication statusPublished - 30 Jun 2020

Keywords

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

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