A Probabilistic Approach for InSAR Time-Series Postprocessing

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 1, 2016, Pages 421-430

  Chang, Ling ^a   Hanssen, Ramon F ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

B method of testing; deformation modeling; multiple hypotheses testing (MHT)

Indexed keywords

CONSTRUCTION INDUSTRY; ESTIMATION; GEODETIC SATELLITES; INTERFEROMETRY; KINEMATICS; ORBITS; PARAMETER ESTIMATION; PROBLEM SOLVING; RADAR; SPACE-BASED RADAR;

CONSTRUCTION ACTIVITIES; EARTH ORBITING SATELLITES; EFFICIENT IMPLEMENTATION; INTERFEROMETRIC SYNTHETIC APERTURE RADARS; MATHEMATICAL ESTIMATION; MULTIPLE HYPOTHESES TESTING; NON-UNIQUENESS PROBLEMS; PROBABILISTIC APPROACHES;

SYNTHETIC APERTURE RADAR;

DEFORMATION; HYPOTHESIS TESTING; KINEMATICS; NUMERICAL MODEL; PROBABILITY; RADAR INTERFEROMETRY; SATELLITE DATA; SYNTHETIC APERTURE RADAR; TIME SERIES ANALYSIS;

EID: 84947043250     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2459037     Document Type: Article

References (44)

1. 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.
2. A. Ferretti, C. Prati, and F. Rocca, "Permanent scatterers in SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 1, pp. 8-20, Jan. 2001.
3. 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.
4. B. Kampes, "Displacement parameter estimation using permanent scatterer interferometry," DLR-Inst. Aerosp. Med., Braunschweig, Germany, Forschungsbericht. DLR, Bibliotheks-und Informationswesen, 2005.
5. P. Tizzani et al., "Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach," Remote Sens. Environ., vol. 108, no. 3, pp. 277-289, Jun. 2007.
6. A. Hooper, P. Segall, and H. Zebker, "Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos," J. Geophys. Res., vol. 112, no. B7, 2007, Art. ID. B07407.
7. A. Hooper, "A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches," Geophys. Res. Lett., vol. 35, no. 16, pp. 1-5, Aug. 2008.
8. R. Lanari et al., "Surface displacements associated with the L'Aquila 2009 Mw 6.3 earthquake (central Italy): New evidence from SBAS-DInSAR time series analysis," Geophys. Res. Lett., vol. 37, no. 20, Oct. 2010, Art. ID. L20309.
9. S. Usai and R. Klees, "SAR interferometry on very long time scale: A study of the interferometric characteristics of man-made features," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 4, pp. 2118-2123, Jul. 1999.
10. F. van Leijen, "Persistent scatterer interferometry based on geodetic estimation theory," Netherlands Geodetic Commission, Amersfoort, The Netherlands, no. 86, 2014.
11. W. Xu, and I. Cumming, "A region-growing algorithm for InSAR phase unwrapping," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 124-134, Jan. 1999.
12. R. F. Hanssen, Radar Interferometry: Data Interpretation and Error Analysis. Dordrecht, The Netherlands: Kluwer, 2001.
13. 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.
14. H. A. Zebker, P. A. Rosen, R. M. Goldstein, A. Gabriel, and C. L.Werner, "On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake," J. Geophys. Res., vol. 99, no. B10, pp. 19 617-19 634, Oct. 10, 1994.
15. C. Tiberius, "Recursive data processing for kinematic GPS surveying," Nederlandse Commissie Voor Geodesie, Amersfoort, The Netherlands, 1998, no. 45.
16. P. J. G. Teunissen, D. G. Simons, and C. C. J. M. Tiberius, "Probability and observation theory," Delft Inst. Earth Observ. Space Syst. (DEOS), Delft Univ. Technol., Delft, The Netherlands, 2005.
17. A. Ferretti et al., "A new algorithm for processing interferometric datastacks: SqueeSAR," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 9, pp. 3460-3470, Sep. 2011.
18. A. Hooper, H. Zebker, P. Segall, and B. Kampes, "A new method for measuring deformation on volcanoes and other non-urban areas using InSAR persistent scatterers," Geophys. Res. Lett., vol. 31, Dec. 2004, Art. ID. L23611.
19. M. Caro Cuenca, "Improving radar interferometry for monitoring faultrelated surface deformation: Applications for the Roer Valley Graben and coal mine induced displacements in the Southern Netherlands," Netherlands Geodetic Commission, Delft, The Netherlands, no. 81, 2012.
20. L. Chang and R. F. Hanssen, "Detection of cavity migration and sinkhole risk using radar interferometric time series," Remote Sens. Environ., vol. 147, pp. 56-64, May 2014.
21. F. Chen, H. Lin, Z. Li, Q. Chen, and J. Zhou, "Interaction between permafrost and infrastructure along the Qinghai-Tibet Railway detected via jointly analysis of C-and L-band small baseline SAR interferometry," Remote Sens. Environ., vol. 123, pp. 532-540, Aug. 2012.
22. C. Xie, Z. Li, J. Xu, and X. Li, "Analysis of deformation over permafrost regions of Qinghai-Tibet plateau based on permanent scatterers," Int. J. Remote Sens., vol. 31, no. 8, pp. 1995-2008, 2010.
23. J. J. Sousa, A. J. Hooper, R. F. Hanssen, L. C. Bastos, and A. M. Ruiz, "Persistent scatterer InSAR: A comparison of methodologies based on a model of temporal deformation vs. spatial correlation selection criteria," Remote Sens. Environ., vol. 115, no. 10, pp. 2652-2663, Oct. 2011.
24. K. Koch, Parameter Estimation and Hypothesis Testing in Linear Models. New York, NY, USA: Springer-Verlag, 1988.
25. P. J. G. Teunissen, Testing Theory: An Introduction, 1st ed. Delft, The Netherlands: Delft Univ. Press, 2000.
26. W. Baarda, A Testing Procedure for Use in Geodetic Networks, 2nd ed., ser. Publications on Geodesy. Delft, The Netherlands: Netherlands Geodetic Commission, 1968.
27. H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, vol. 19, no. 6, pp. 716-723, Dec. 1974.
28. H. Akaike, "On the likelihood of a time series model," Statistician, vol. 27, no. 3/4, pp. 217-235, Sep.-Dec. 1978.
29. P. Stoica and Y. Selen, "Model-order selection: A review of information criterion rules," IEEE Signal Process. Mag., vol. 21, no. 4, pp. 36-47, Jul. 2004.
30. P. J. G. Teunissen, "Quality control in integrated navigation systems," IEEE Aerosp. Electron. Syst. Mag., vol. 5, no. 7, pp. 35-41, Jul. 1990.
31. H. M. de Heus, P. Joosten, M. H. F. Martens, and H. M. E. Verhoef, "Geodetische deformatie analyse: 1Ddeformatieanalyse uit waterpasnetwerken," Delft Univ. Technol., LGR Series, Delft, The Netherlands, Tech. Rep. 5, 1994.
32. P. J. Davis, "Gamma function and related functions," in Handbook of Mathematical Functions, 9th ed., ser. Dover books on advanced mathematics. New York, NY, USA: Dover, 1970, ch. 6, pp. 253-294.
33. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions, 9th ed., ser. Dover books on advanced mathematics. New York, NY, USA: Dover, 1970.
34. P. J. G. Teunissen, "Integer aperture GNSS ambiguity resolution," Artif. Satellites, vol. 38, no. 3, pp. 79-88, 2003.
35. W. Baarda, S-Transformations and Criterion Matrices, 2nd ed., ser. Publications on Geodesy, New Series. Delft, The Netherlands: Netherlands Geodetic Commission, 1981.
36. E. W. Weisstein, Heaviside Step Function. Champaign, IL, USA: MathWorld-A Wolfram Web Resource, 2008.
37. O. Monserrat, M. Crosetto, M. Cuevas, and B. Crippa, "The thermal expansion component of persistent scatterer interferometry observations," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 864-868, Sep. 2011.
38. M. Cuevas, O. Monserrat, M. Crosetto, and B. Crippa, "A new product from persistent scatterer interferometry: The thermal dilation maps," in Proc. IEEE JURSE, 2011, pp. 285-288.
39. T. G. Goodwillie, "Calculus III: Taylor series," Geometry Topology, vol. 7, no. 2, pp. 645-711, 2003.
40. R. Hanssen, "Stochastic modeling of time series radar interferometry," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Anchorage, AK, USA, 2004, pp. 2607-2610.
41. P. J. G. Teunissen, Towards a Least-Squares Framework for Adjusting and Testing of Both Functional and Stochastic Models, ser. Mathematical Geodesy and Positioning Series. Delft, The Netherlands: Delft Univ. Press, 1988.
42. F. Kenselaar, "Model formulation and adjustment of geodetic positioning problems," Delft Univ. Technol., Delft, The Netherlands, Tech. Rep., 1997.
43. A. Amiri-Simkooei, C. Tiberius, and P. Teunissen, "Assessment of noise in GPS coordinate time series: Methodology and results," J. Geophys. Res.: Solid Earth (1978-2012), vol. 112, no. B7, Jul. 2007, Art. ID. B07413.
44. P. J. G. Teunissen and A. R. Amiri-Simkooei, "Least-squares variance component estimation," J. Geodesy, vol. 82, no. 2, pp. 65-82, Feb. 2008.