4.7 Article

Ionospheric Correction of SAR Interferograms by Multiple-Aperture Interferometry

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2012.2218660

关键词

Advanced Land Observation Satellite (ALOS) Phased-Array-type L-band Synthetic Aperture Radar (PALSAR); interferometric synthetic aperture radar (InSAR); ionospheric correction; ionospheric phase map; multiple-aperture interferometry (MAI); synthetic aperture radar (SAR)

资金

  1. Space Core Technology Development Program through the National Research Foundation of Korea
  2. Ministry of Education, Science and Technology [2012M1A3A3A02033465]
  3. State-of-the-Art Remote Sensing Technology Development of Disaster Management Research Program
  4. National Disaster Management Institute [NDMI-M-2012-09]
  5. National Research Foundation of Korea [2012M1A3A3A02033465] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

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 x 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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