Fuzzy vs probability uncertainty analysis of seismic displacement measurements issued from D-InSAR and SAR image correlation measurements: Application to the Kashmir earthquake (2005)

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2011, Pages 114-118

  Yan, Y ^a   Trouve E ^a   Mauris, G ^a   Pinel, V ^b  

^a Université de Savoie   (France)

^b UNIVERSITÉ DE SAVOIE   (France)

Author keywords

fuzzy theory; ground displacement; measurement uncertainty; remote sensing; SAR image; seismic observations

Indexed keywords

FUZZY THEORY; GROUND DISPLACEMENT; MEASUREMENT UNCERTAINTY; SAR IMAGES; SEISMIC OBSERVATION;

EARTHQUAKES; FUZZY LOGIC; GEODETIC SATELLITES; INSTRUMENTS; MEASUREMENT THEORY; MOTION COMPENSATION; PROBABILITY DISTRIBUTIONS; RADAR MEASUREMENT; RANDOM VARIABLES; REMOTE SENSING; SYNTHETIC APERTURE RADAR;

UNCERTAINTY ANALYSIS;

EID: 80051881180     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.2011.5944254     Document Type: Conference Paper

References (25)

1. E. Attema. Mission requirements document for the european radar observatory sentinel-1. ES-RS-ESA-SY-0007, 1, 2005.
2. R. Pedersen, S. Jhonsson, T. Arnadhottir, F. Sigmundsson, and K. L. Feigl. Fault slip distribution of two June 2000 Mw6:5 earthquake in South Iceland estimated from joint inversion of InSAR and GPS measurements.Earth and Planetary Science Letters, (213), 2003.
3. D. A. Schmidt, R. Burgmann, R. M. Nadeau, and M. d'Alessio. Distribution of aseismic slip rate on the Hayward fault inferred from seismic and geodetic data. Journal of Geophysical Research, 110(B08406), 2005.
4. H. Sudhaus and S. Jhonsson. Improved source modelling through combined use of InSAR and GPS under consideration of correlated data errors: application to the June 2000 Kleifarvatn earthquake, Iceland. Geophysical Journal International, (176), 2009.
5. R. Grandin, A. Socquet, R. Binet, Y. Klinger, E. Jacques, J.B. de Chabalier, G.C.P. King, C. Lasserre, S. Tait, P. Tapponnier, A. Delorme, and P. Pinzuti. September 2005 Manda Hararo-Dabbahu rifting event, Afar (Ethiopia): Constraints provided by geodetic data. Journal of Geophysical Research, 114(B08404), 2009.
6. Mauris G., Lasserre V., Foulloy L., Fuzzy modeling of measurement data acquired from physical sensors, IEEE Trans. on Measurement and Instrumentation, Vol. 49, No. 6, December 2000, pp. 1201-1205.
7. Mauris G., Lasserre V., Foulloy L., A fuzzy approach for the expression of uncertainty in measurement, Int. Journal of Measurement, Vol. 29, No 3, March 2001, pp. 165-177.
8. Mauris G., Expression of measurement uncertainty in a very limited knowledge context: a possibility theory-based approach, IEEE Trans. on Instrumentation and Measurement, Vol. 56, No. 3, 2007, pp. 731-735.
9. Urbanski M., Wasowki J., Fuzzy approach to the theory of measurement inexactness, Int. Journal of Measurement, Vol. 34, 2003, pp. 67-74
10. Ferrero A., Salicone S., The random-fuzzy variables: a new approach to the expression of uncertainty, IEEE Trans. On Instrumentation and Measurement, Vol. 53, No 5, 2004, pp. 1370-1377.
11. Ferrero A., Salicone S., A comparative aanlysis of the statistical and random-fuzzy approaches in the expression of uncertaitny in measurement, IEEE Trans. On Instrumentation and Measurement, Vol. 54, No 4, 2005, pp. 1475-1481.
12. Mencattini A., Salicone S., How to process the random part of RFVs: comparison of available methods and new proposals , IEEE Trans. On Instrumentation and Measurement, Vol. 59, No 1, 2010, pp. 15-26.
13. N.E.C. Verhoest, B. De Baets, F. Mattia, G. Satalino, C. Lucau, and P. Defourny. A possibilistic approach to soil moisture retrieval from ers synthetic aperture radar backscattering under soil roughness uncertainty. Water Resources Research, 43(W07435), 2007.
14. P.P. Mujumdar and S. Ghosh. Modeling gcm and scenario uncertainty using a possibilistic approach: Application to the mahanadi river, india. Water Resources Research, 44(W06407), 2008.
15. A.P. Jacquin. Possibilistic uncertainty analysis of a conceptual model of snowmelt runoff. Hydrology and Earth System Sciences, 14:1681-1695, 2010.
16. Dubois D., Foulloy L., Mauris G., Prade H., Probability-possibility transformations, triangular fuzzy sets and probabilistic inequalities, Reliable Computing, Vol. 10, No 4, 2004, pp. 273-297.
17. Guide for the expression of uncertainty in measurement, ISO, second edition, 1995.
18. L. A. Zadeh. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1):3-28, 1978.
19. E. Pathier, E. J. Fielding, T. J. Wright, R. Walker, B. E. Parsons, and S. Hensley. Displacement field and slip distribution of the 2005 Kashmir earthquake from SAR imagery. Geophysical Research Letters, 33(L20310), 2006.
20. S. H. Yun, H. Zebker, P. Segall, A. Hooper, and M. Poland. Interferogram formation in the presence of complex and large deformation. Geophysical Research Letters, 34(L12305), 2007.
21. T. J. Wright, C. Ebinger, J. Biggs, A. Ayele, G. Yirgu, D. Keir, andA. Stork. Magma-maintained rift segmentation at continental rupture in the 2005 Afar dyking episode. Nature, 442(doi:10.1038/nature04978), 2006
22. Davidson, Russell, Mackinnon, and James G. Estimation and inference in econometrics. Oxford University Press, isbn 978-0-19-506011-9 edition, 1993.
23. P.A. Cornillon and E. Matzner-Lober. Rgression, Theorie et applications. Springer Paris edition, 2007.
24. P.A. Rosen, S. Hensley, G. Peltzer, and M. Simons. Updated Repeat Orbit Interferometry Package released. Transactions, American Geophysical Union, 85(47), 2004.
25. E. Trouvé, J.M. Nicolas, and H. Maitre, Improving Phase Unwrapping Techniques by the Use of Local Frequency Estimates, IEEE Transaction on Geoscience and Remote Sensing, 36(6), 1998.