Data Recipes — Further Reading

Chatelain, F., Tourneret, J. Y., Inglada, J., and Ferrari, A., 2007, Bivariate Gamma Distributions for Image Registration and Change Detection: IEEE Transactions on Image Processing, v. 16, no. 7, p. 1796-1806.

Cha, Miriam, Rhonda D. Phillips, Patrick J. Wolfe, and Christ D. Richmond. Two-Stage Change Detection for Synthetic Aperture Radar.” (2015).

Dogan, Ozan, and Daniele Perissin. Detection of Multitransition Abrupt Changes in Multitemporal SAR Images.” Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of 7, no. 8 (2014): 3239-3247.

F. Bovolo and L. Bruzzone, A detail-preserving scale-driven approach to change detection in multitemporal SAR images,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 43, pp. 2963-2972, 2005.

J. Inglada and G. Mercier, A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 45, pp. 1432-1445, 2007.

L. Bruzzone and D. F. Prieto, Automatic analysis of the difference image for unsupervised change detection,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 38, pp. 1171-1182, 2000.

R. J. Dekker, Speckle filtering in satellite SAR change detection imagery,” International Journal of Remote Sensing, vol. 19, pp. 1133-1146, 1998.

S. Huang, Change mechanism analysis and integration change detection method on SAR images,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7, 2008.

S.-H. Yun, E. J. Fielding, F. H. Webb, and M. Simons, Damage proxy map from interferometric synthetic aperture radar coherence,” ed: Google Patents, 2012.

T. Celik, A Bayesian approach to unsupervised multiscale change detection in synthetic aperture radar images,” Signal processing, vol. 90, pp. 1471-1485, 2010.

Y. Bazi, L. Bruzzone, and F. Melgani, “An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 43, pp. 874887, 2005.

Xiong, Boli, Qi Chen, Yongmei Jiang, and Gangyao Kuang. A threshold selection method using two SAR change detection measures based on the Markov random field model.” IEEE Geoscience and Remote Sensing Letters, Vol. 9, no. 2 (2012): 287291.

Akerson, J. J., Yang, Y. C. E., Hara, Y., Wu, B. I. and Kong, J. A., 2000. Automatic phase unwrapping algorithms in Synthetic Aperture Radar (SAR) Interferometry. IEICE Transactions on Electronics, E83C (12):1896-1904.

Chen, C. W. and Zebker, H. A., 2001. Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization. Journal of the Optical Society of America A-Optics Image Science and Vision, 18 (2):338-351.

Chen, C. W. and Zebker, H. A., 2002. Phase unwrapping for large SAR interferograms: Statistical segmentation and generalized network models. IEEE Transactions on Geoscience and Remote Sensing, 40 (8):1709-1719.

Costantini, M., Farina, A. and Zirilli, F., 1999. A fast phase unwrapping algorithm for SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 37 (1):452-460.

Davidson, G. W. and Bamler, R., 1999. Multiresolution phase unwrapping for SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 37 (1):163-174.

Egidi, N. and Maponi, P., 2004. A comparative study of two fast phase unwrapping algorithms. Applied Mathematics and Computation, 148 (3):599-629.

Flynn, T. J., 1997. Two-dimensional phase unwrapping with minimum weighted discontinuity. Journal of the Optical Society of America A-Optics Image Science and Vision, 14 (10):2692-2701.

Fornaro, G., Franceschetti, G., Lanari, R., Sansosti, E. and Tesauro, M., 1997. Global and local phase-unwrapping techniques: a comparison. Journal of the Optical Society of America A-Optics Image Science and Vision, 14 (10):2702-2708.

Fu, S. H., Long, X. J. and Yang, X., 2010. Coherence estimation method and its application to phase unwrapping. Journal of Applied Remote Sensing, 4 (5).

Gang, Li, Jia, Xu, Ying-Ning, Peng and Xiang-Gen, Xia, 2007. An efficient implementation of a robust phase-unwrapping algorithm. IEEE Signal Processing Letters, 14 (6):393-6.

Gens, R., 2003. Two-dimensional phase unwrapping for radar interferometry: developments and new challenges. International Journal of Remote Sensing, 24 (4):703-710.

Ghiglia, Dennis C. and Pritt, Mark D., 1998. Two-dimensional phase unwrapping: theory, algorithms, and software. International Journal of Remote Sensing, 24 (4):xiv, 493 p..

Ghiglia, D. C. and Romero, L. A., 1994. Robust 2-Dimensional Weighted And Unweighted Phase Unwrapping That Uses Fast Transforms And Iterative Methods. Journal of the Optical Society of America A-Optics Image Science and Vision, 11 (1):107-117.

Ghiglia, D. C. and Romero, L. A., 1996. Minimum L(p)-norm two-dimensional phase unwrapping. Journal of the Optical Society of America A-Optics Image Science and Vision, 13 (10):1999-2013.

Goldstein, R. M. and Werner, C. L., 1998. Radar interferogram filtering for geophysical applications.Geophysical Research Letters, 25 (21):4035-4038.

Goldstein, R. M., Zebker, H. A. and Werner, C. L., 1988. Satellite Radar Interferometry – Two-Dimensional Phase Unwrapping. Radio Science, 23 (4):713-720.

Guarnieri, A. M., 2003. Using topography statistics to help phase unwrapping. IEEE Proceedings-Radar Sonar and Navigation, 150 (3):144-151.

Hooper, A. and Zebker, H. A., 2007. Phase unwrapping in three dimensions with application to InSAR time series. Journal of the Optical Society of America A- Optics Image Science and Vision, 24 (26):2737-2747.

Li, Z. F., Bao, Z. and Suo, Z. Y., 2007. A joint image coregistration, phase noise suppression, and phase unwrapping method based on subspace projection for multibaseline InSAR systems. IEEE Transactions on Geoscience and Remote Sensing, 45 (3):584-591.

Lin, Q., Vesecky, J. F. and Zebker, H. A., 1992. New Approaches in Interferometric SAR Data Processing. IEEE Transactions on Geoscience and Remote Sensing, 30 (3):560-567.

Lin, Q., Vesecky, J. F. and Zebker, H. A., 1994. Phase Unwrapping Through Fringe- Line Detection in Synthetic-Aperture Radar Interferometry. Applied Optics, 33 (2):201-208.

Lyuboshenko, I. V., Maitre, H. and Maruani, A., 2002. Least-mean-squares phase unwrapping by use of an incomplete set of residue branch cuts. Applied Optics, 41 (11):2129-2148.

Nico, G., Palubinskas, G. and Datcu, M., 2000. Bayesian approaches to phase unwrapping: Theoretical study. IEEE Transactions on Signal Processing, 48 (9):2545-2556.

Sandwell, D. T. and Price, E. J., 1998. Phase gradient approach to stacking interferograms. Journal of Geophysical Research-Solid Earth, 103 (B12):30183- 30204.

Shanker, A. P. and Zebker, H., 2010. Edgelist phase unwrapping algorithm for time series InSAR analysis. Journal of the Optical Society of America A-Optics Image Science and Vision, 27 (3):605-612.

Shanker, A. P. and Zebker, H. A., 2009. Sparse Two-Dimensional Phase Unwrapping Using Regular Grid Methods. IEEE Geoscience and Remote Sensing Letters, 6 (3):519-522.

Spagnolini, U., 1993. 2-D Phase Unwrapping and Phase Aliasing. Geophysics, 58 (9):1324-1334.

Wei, Z. Q., Xu, F. and Jin, Y. Q., 2008. Phase unwrapping for SAR interferometry based on an ant colony optimization algorithm. International Journal of Remote Sensing, 29 (3):711-725.

Yang, Lei, Liu, Wei and Zhao, Yong-jun, 2007. Branch – cut strategy analyses in phase unwrapping algorithm for interferometric SAR. Science of Surveying and Mapping, 37 (1):75-7.

Zakharova, L. N. and Zakharov, A. I., 2003. Comparison of some modern phase unwrapping methods in radar interferometry. Journal of Communications Technology and Electronics, 48 (10):1108-1112.

Summary Articles about SAR

Bamler, R., & Hartl, P. (1998). Synthetic aperture radar interferometry. Inverse problems, 14(4), R1.

Bürgmann, R., Rosen, P. A., & Fielding, E. J. (2000). Synthetic aperture radar interferometry to measure Earth’s surface topography and its deformation. Annual review of earth and planetary sciences, 28(1), 169-209.

Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., & Papathanassiou, K P. (2013). A tutorial on synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine, 1(1), 6-43.

Rosen, P A., Hensley, S, Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., & Goldstein, R. M. (2000). Synthetic aperture radar interferometry. Proceedings of the IEEE, 88(3), 333-382.

Simons, M., and P. A. Rosen (2007), Interferometric synthetic aperture radar geodesy, in Geodesy, Treatise on Geophysics, vol. 3, edited by T. Herring, pp. 391-446, Elsevier.

InSAR Processing

Bamler, R., & Hartl, P. (1998). Synthetic aperture radar interferometry. Inverse problems, 14(4), R1.

Bürgmann, R., Rosen, P. A., & Fielding, E. J. (2000). Synthetic aperture radar interferometry to measure Earth’s surface topography and its deformation. Annual review of earth and planetary sciences, 28(1), 169-209.

Rosen, P A., Hensley, S, Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., & Goldstein, R. M. (2000). Synthetic aperture radar interferometry. Proceedings of the IEEE, 88(3), 333-38

Volcanic Source Modeling using InSAR

Baker, S., & Amelung, F. (2012). Top‐down inflation and deflation at the summit of Kīlauea Volcano, Hawai‘i observed with InSAR. Journal of Geophysical Research: Solid Earth, 117(B12).

Lohman, R. B., & Simons, M. (2005). Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling. Geochemistry, Geophysics, Geosystems, 6(1).

Lu, Z. (2007). InSAR imaging of volcanic deformation over cloud-prone areas– Aleutian Islands. Photogrammetric Engineering & Remote Sensing, 73(3), 245-257.

Lu, Z., & Dzurisin, D. (2010). Ground surface deformation patterns, magma supply, and magma storage at Okmok volcano, Alaska, from InSAR analysis: 2. Coeruptive deflation, July–August 2008. Journal of Geophysical Research: Solid Earth, 115(B5).

Lu, Z., Masterlark, T., & Dzurisin, D. (2005). Interferometric synthetic aperture radar study of Okmok volcano, Alaska, 1992–2003: Magma supply dynamics and postemplacement lava flow deformation. Journal of Geophysical Research: Solid Earth, 110(B2).

Mogi, K. (1958), Relations between the eruptions of various volcanoes and the deformations of the ground surfaces around them, Bull. Earthquake Research Inst., 36, 99–134.

Wright, T. J., Lu, Z., & Wicks, C. (2003). Source model for the Mw 6.7, 23 October 2002, Nenana Mountain Earthquake (Alaska) from InSAR. Geophysical Research Letters, 30(18). [Supplements]

InSAR Time Series Analysis

Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11), 2375-2383.

Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F., & Rucci, A. (2011). A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Transactions on Geoscience and Remote Sensing, 49(9), 3460-347

Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on geoscience and remote sensing, 39(1), 8-20.

Hooper, A., Segall, P., & Zebker, H. (2007). Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos. Journal of Geophysical Research: Solid Earth, 112(B7).

Lanari, R., Mora, O., Manunta, M., Mallorquí, J. J., Berardino, P., & Sansosti, E. (2004). A small-baseline approach for investigating deformations on full resolution differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 42(7), 1377-1386.

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