SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point

Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation coefficient between the topographic phase and elevation, which will affect the topographic phase removal for differential interferometric SAR (D-InSAR) and the accuracy of the final generated digital elevation model (DEM) product for interferometric synthetic aperture (InSAR). To obtain a highly accurate interferometric baseline, this paper firstly investigates the geometry of InSAR imaging and establishes a rigorous relationship between the interferometric baseline and the flat-earth phase. Then, a baseline refinement method without a ground control point (GCP) is proposed, where a relevant theoretical model and resolving method are developed. Synthetic and real SAR datasets are used in the experiments, and a comparison with the conventional least-square (LS) baseline refinement method is made. The results demonstrate that the proposed method exhibits an obvious improvement over the conventional LS method, with percentages of up to 51.5% in the cross-track direction. Therefore, the proposed method is effective and advantageous.

[1]  Nobuo Kudo,et al.  Precise Orbit Determination for ALOS , 2007 .

[2]  Arthur E. Hoerl,et al.  Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.

[3]  Urs Wegmüller,et al.  Gamma SAR processor and interferometry software , 1997 .

[4]  Fabio Rocca,et al.  The wavenumber shift in SAR interferometry , 1994, IEEE Trans. Geosci. Remote. Sens..

[5]  Guo Li-min INFLUENCE OF INTERFEROMETRIC BASELINE ON MEASUREMENTS OF SEISMIC DEFORMATION: A CASE STUDY ON THE 1997 MANI,TIBET M7.7 EARTHQUAKE , 2012 .

[6]  Chen Yi-fei A Novel Baseline Estimation Approach of Spaceborne InSAR Based on Interferometric Fringe Frequency , 2011 .

[7]  C. Werner,et al.  Radar interferogram filtering for geophysical applications , 1998 .

[8]  Xiaoli Ding,et al.  A Refined Strategy for Removing Composite Errors of SAR Interferogram , 2014, IEEE Geoscience and Remote Sensing Letters.

[9]  J. Dow,et al.  Envisat Precise Orbit Determination , 2005 .

[10]  Wu Yirong,et al.  An Improved Baseline Estimation Approach Based on the Interferometric Phases: An Improved Baseline Estimation Approach Based on the Interferometric Phases , 2011 .

[11]  Dianne P. O'Leary,et al.  The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..

[12]  Timo Balz,et al.  Landslide monitoring with high-resolution SAR data in the Three Gorges region , 2012, Science China Earth Sciences.

[13]  Per Christian Hansen,et al.  Analysis of Discrete Ill-Posed Problems by Means of the L-Curve , 1992, SIAM Rev..

[14]  Kamal Sarabandi,et al.  Validation of the Shuttle Radar Topography Mission height data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Ramon F. Hanssen,et al.  Reliable estimation of orbit errors in spaceborne SAR interferometry , 2012, Journal of Geodesy.

[16]  T. Farr,et al.  Shuttle radar topography mission produces a wealth of data , 2000 .

[17]  HE Xiu-feng,et al.  An InSAR Baseline Estimation Method Using Kalman Filter , 2008, National Remote Sensing Bulletin.

[18]  S. H. Zisk,et al.  A new, earth-based radar technique for the measurement of lunar topography , 1972 .

[19]  A. Roth,et al.  The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar , 2003 .

[20]  D. Nuesch,et al.  Baseline modelling for ERS-1 SAR interferometry , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[21]  Yang Yafu InSAR Baseline Estimation Based on Co-registration Offsets , 2010 .

[22]  R. Goldstein,et al.  Mapping small elevation changes over large areas: Differential radar interferometry , 1989 .

[23]  Richard Bamler,et al.  Very High Resolution Spaceborne SAR Tomography in Urban Environment , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Xiaoli Ding,et al.  Calibration of an InSAR-Derived Coseimic Deformation Map Associated With the 2011 Mw-9.0 Tohoku-Oki Earthquake , 2012, IEEE Geoscience and Remote Sensing Letters.

[25]  Rui Zhang,et al.  Exploration of Subsidence Estimation by Persistent Scatterer InSAR on Time Series of High Resolution TerraSAR-X Images , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  Antonio Pepe,et al.  SBAS-Based Satellite Orbit Correction for the Generation of DInSAR Time-Series: Application to RADARSAT-1 Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[27]  O. Montenbruck,et al.  TerraSAR-X Rapid and Precise Orbit Determination , 2009 .

[28]  Ron Kwok,et al.  Measurement of ice-sheet topography using satellite-radar interferometry , 1996 .

[29]  Li Xin Baseline Estimation of Interferometric SAR Based on Fast Fourier Transform , 2003 .

[30]  Jianguo Liu,et al.  Spatial decorrelation due to topography in the interferometric SAR coherence imagery , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[31]  P. Visser,et al.  Precise orbit determination and gravity field improvement for the ERS satellites , 1998 .

[32]  Hiroshi Kimura,et al.  Baseline estimation using ground points for interferometric SAR , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.