Ionospheric correction of SAR interferograms by multiple-aperture interferometry

Hyung Sup Jung, Dong Taek Lee, Zhong Lu, Joong Sun Won

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Interferometric synthetic aperture radar (InSAR) is a powerful technique that precisely measures surface deformations at a fine spatial resolution over a large area. However, the accuracy of this technique is sometimes compromised by ionospheric path delays on radar signals, particularly with L- and P-band SAR systems. To avoid ionospheric effects from being misinterpreted as ground displacement, it is necessary to detect and correct their contributions to interferograms. In this paper, we propose an efficient method for ionospheric measurement and correction and validate its theoretical and experimental performance. The proposed method exploits the linear relationship between the multiple-aperture interferometry phase and the azimuth derivative of the ionospheric phase. Theoretical analysis shows that a total electron content (TEC) accuracy of less than 1.0 × 10-4 TEC units can be achieved when more than 100 neighboring samples can be averaged (multilooked), and the coherence is 0.5. The regression analysis between the interferometric phase and the topographic height shows that the root-mean-square error can be improved by a factor of two after ionospheric correction. A 2-D Fourier spectral analysis indicates that the ionospheric wave pattern in the uncorrected power spectrum has disappeared in the power spectrum of the corrected interferogram. These results demonstrate that the proposed method can effectively remove ionospheric artifacts from an ionosphere-distorted InSAR image. Note that the method assumes that there is no appreciable surface displacement in the along-track dimension of the interferogram.

Original languageEnglish
Pages (from-to)3191-3199
Number of pages9
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume51
Issue number5
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

Synthetic aperture radar
Power spectrum
interferometry
Interferometry
Ionospheric measurement
synthetic aperture radar
Electrons
Ionosphere
Regression analysis
Mean square error
Spectrum analysis
Radar
Derivatives
spectral analysis
azimuth
artifact
ionosphere
regression analysis
spatial resolution
radar

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

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abstract = "Interferometric synthetic aperture radar (InSAR) is a powerful technique that precisely measures surface deformations at a fine spatial resolution over a large area. However, the accuracy of this technique is sometimes compromised by ionospheric path delays on radar signals, particularly with L- and P-band SAR systems. To avoid ionospheric effects from being misinterpreted as ground displacement, it is necessary to detect and correct their contributions to interferograms. In this paper, we propose an efficient method for ionospheric measurement and correction and validate its theoretical and experimental performance. The proposed method exploits the linear relationship between the multiple-aperture interferometry phase and the azimuth derivative of the ionospheric phase. Theoretical analysis shows that a total electron content (TEC) accuracy of less than 1.0 × 10-4 TEC units can be achieved when more than 100 neighboring samples can be averaged (multilooked), and the coherence is 0.5. The regression analysis between the interferometric phase and the topographic height shows that the root-mean-square error can be improved by a factor of two after ionospheric correction. A 2-D Fourier spectral analysis indicates that the ionospheric wave pattern in the uncorrected power spectrum has disappeared in the power spectrum of the corrected interferogram. These results demonstrate that the proposed method can effectively remove ionospheric artifacts from an ionosphere-distorted InSAR image. Note that the method assumes that there is no appreciable surface displacement in the along-track dimension of the interferogram.",
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Ionospheric correction of SAR interferograms by multiple-aperture interferometry. / Jung, Hyung Sup; Lee, Dong Taek; Lu, Zhong; Won, Joong Sun.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 5, 01.01.2013, p. 3191-3199.

Research output: Contribution to journalArticle

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