Estimating spatiotemporal ground deformation with improved permanent-scatterer radar interferometry

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 8, 2009, Pages 2762-2772

  Liu, Guoxiang ^a   Buckley, Sean M ^b   Ding, Xiaoli ^c   Chen, Qiang ^a   Luo, Xiaojun ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b The University of Texas at Austin   (United States)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Atmospheric signal; Empirical mode decomposition (EMD); Ground deformation; Permanent scatterer (PS) networking; Radar interferometry

Indexed keywords

ATMOSPHERIC ARTIFACTS; COHERENT RADAR; DEFORMATION RATES; EMD METHOD; EMPIRICAL MODE DECOMPOSITION; EMPIRICAL MODE DECOMPOSITION (EMD); EUROPEAN REMOTE SENSING; GROUND DEFORMATION; GROUND DEFORMATION MONITORING; GROUND DEFORMATIONS; INTERFEROMETRIC SYNTHETIC APERTURE RADARS; LEAST SQUARES METHODS; NONLINEAR DEFORMATIONS; PERMANENT-SCATTERER (PS) NETWORKING; PS-INSAR; RADAR INTERFEROMETRY; SAR IMAGES; SYNTHETIC APERTURE RADAR IMAGES; SYNTHETIC APERTURE RADAR INTERFEROMETRY; TEMPORAL DECORRELATION; TEST SITE;

ACOUSTIC SIGNAL PROCESSING; DEFORMATION; GEODETIC SATELLITES; HOLOGRAPHY; IMAGE CLASSIFICATION; IMAGING SYSTEMS; INTERFEROMETERS; PHOTOACOUSTIC EFFECT; RADAR; RADAR ANTENNAS; REMOTE SENSING; SCATTERING; SINGULAR VALUE DECOMPOSITION; SYNTHETIC APERTURES; TIME SERIES;

SYNTHETIC APERTURE RADAR;

ARTIFACT; DEFORMATION; EMPIRICAL ANALYSIS; LEAST SQUARES METHOD; RADAR INTERFEROMETRY; REMOTE SENSING; SATELLITE IMAGERY; SPATIOTEMPORAL ANALYSIS; TOPOGRAPHY;

EID: 67949115610     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2016213     Document Type: Article

References (35)

1. D. Massonnet and K. L. Feigl, "Radar interferometry and its application to changes in the Earth's surface," Rev. Geophys., vol. 36, no. 4, pp. 441-500, 1998.
2. P. A. Rosen, S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, and R. M. Goldstein, "Synthetic aperture radar interferometry," Proc. IEEE, vol. 88, no. 3, pp. 333-382, Mar. 2000.
3. A. Ferretti, G. Savio, R. Barzaghi, A. Borghi, S. Musazzi, F. Novali, C. Prati, and F. Rocca, "Submillimeter accuracy of InSAR time Series: Experimental validation," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 5, pp. 1142-1153, May 2007.
4. S. Samsonov, K. Tiampo, J. Rundle, and Z. H. Li, "Application of DInSAR-GPS optimization for derivation of fine-scale surface motion maps of Southern California," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 2, pp. 512-521, Feb. 2007.
5. H. A. Zebker and J. Villasenor, "Decorrelation in interferometric radar echoes," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 5, pp. 950-959, Sep. 1992.
6. R. F. Hanssen, T. M. Weckwerth, H. A. Zebker, and R. Klees, "High-resolution water vapor mapping from interferometric radar measurements," Science, vol. 283, no. 5406, pp. 1297-1299, Feb. 1999.
7. S. M. Buckley, P. A. Rosen, S. Hensley, and B. D. Tapley, "Land Subsidence in Houston, Texas, measured by radar interferometry and constrained by extensometers," J. Geophys. Res., vol. 108, no. B11, pp. 2542-2554, 2003.
8. S. M. Buckley, Radar Interferometry Measurement of Land Subsidence. Austin, TX: Univ. Texas Austin, 2000.
9. G. X. Liu, Monitoring of Ground Deformations With Radar Interferometry. Beijing, China: Publishing House of Surveying Mapping, 2006.
10. H. A. Zebker, P. A. Rosen, and S. Hensley, "Atmospheric effects in inter-ferometric synthetic aperture radar surface deformation and topographic maps," J. Geophys. Res., vol. 102, no. B4, pp. 7547-7563, 1997.
11. Z. W. Li, X. L. Ding, G. X. Liu, and C. Huang, "Atmospheric effects on InSAR measurements - A review," Geomat. Res. Australas., no. 79, pp. 43-58, 2003.
12. G. X. Liu, X. L. Ding, Z. L. Li, Z. W. Li, Y. Q. Chen, and S. B. Yu, "Pre- and co-seismic ground deformations of the 1999 Chi-Chi, Taiwan earthquake, measured with SAR interferometry," Comput. Geosci., vol. 30, no. 4, pp. 333-343, May 2004.
13. D. T. Sandwell and E. J. Price, "Phase gradient approach to stacking interferograms," J. Geophys. Res., vol. 103, no. B12, pp. 30 183-30 204, 1998.
14. S. Lyons and D. Sandwell, "Fault creep along the southern San Andreas from InSAR, permanent scatterers, and stacking," J. Geophys. Res., vol. 108, no. B1, pp. 2047-2070, 2003.
15. A. Ferretti, C. Prati, and F. Rocca, "Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2202-2212, Sep. 2000.
16. A. Ferretti, C. Prati, and F. Rocca, "Permanent scatterers in SAR inter-ferometry," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 1, pp. 8-20, Jan. 2001.
17. B. M. Kampes and N. Adam, "Velocity field retrieval from long term coherent points in radar interferometric stacks," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2003, vol. 2, pp. 941-944.
18. C. Colesanti, A. Ferretti, C. Prati, and F. Rocca, "Monitoring landslides and tectonic motions with the permanent scatterers technique," Eng. Geol., vol. 68, no. 1/2, pp. 3-14, Feb. 2003.
19. P. Berardino, G. Fornaro, R. Lanari, and E. Sansosti, "A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 11, pp. 2375-2383, Nov. 2002.
20. R. Lanari, O. Mora, M. Manunta, J. J. Mallorqui, P. Berardino, and E. Sansosti, "A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1377-1386, Jul. 2004.
21. P. Lundgren, S. Usai, E. Sansosti, R. Lanari, M. Tesauro, G. Fornaro, and P. Berardino, "Modeling surface deformation observed with synthetic aperture radar interferometry at Campi Flegrei caldera," J. Geophys. Res., vol. 106, no. B9, pp. 19 355-19 366, 2001.
22. S. Usai, "A least squares database approach for SAR interferometric data," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 4, pp. 753-760, Apr. 2003.
23. O. Mora, J. J. Mallorqui, and A. Broquetas, "Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 10, pp. 2243-2253, Oct. 2003.
24. P. R. Wolf and C. D. Ghilani, Adjustment Computations: Statistics and Least Squares in Surveying and GIS. New York: Wiley, 1997.
25. N. E. Huang, Z. Shen, S. R. Long, M. L. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis," Proc. R. Soc. Lond. A, Math. Phys. Sci., vol. 454, pp. 903-995, 1998.
26. T. A. Davis, User Guide (Version 4.0), 2002. [Online]. Available: http://www.cise.ufl.edu/research/sparse/umfpack
27. R. A. Olea, Geostatistics for Engineers and Earth Scientists. Dordrecht, The Netherlands: Kluwer, 1999.
28. Z. W. Li, X. L. Ding, C. Huang, W. B. Zou, and Y. L. Chen, "Atmospheric effects on repeat-pass InSAR measurements over Shanghai region," J. Atmos. Sol.-Terr. Phys., vol. 69, no. 12, pp. 1344-1356, Aug. 2007.
29. R. M. Goldstein and C. L. Werner, "Radar interferogram filtering for geophysical applications," Geophys. Res. Lett., vol. 25, no. 21, pp. 4035-4038, 1998.
30. Z. W. Li, X. L. Ding, D. W. Zheng, and C. Huang, "Least squares based filter for remote sensing image noise reduction," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2044-2049, Jul. 2008.
31. D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software. New York: Wiley, 1998.
32. P. Flandrin, G. Rilling, and P. Goncalves, "Empirical mode decomposition as a filter bank," IEEE Signal Process. Lett., vol. 11, no. 2, pp. 112-114, Feb. 2004.
33. F. Casu, S. M. Buckley, M. Manzo, A. Pepe, and R. Lanari, "Large scale InSAR deformation time series: Phoenix and Houston case studies," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2005, vol. 7, pp. 5240-5243.
34. W. F. Caspary, Concepts of Network and Deformation Analysis, J. M. Rüeger, Ed. Sydney, Australia: School Surveying, Univ. New South Wales, 1987.
35. X. L. Ding and R. Coleman, "Multiple outlier detection by evaluating redundancy contributions of observations," J. Geod., vol. 70, no. 8, pp. 489-498, May 1996.