Abstract
GEO SAR has characteristics of short revisit time of less than one day, extended coverage area with even larger than 1000 km and long coverage time of several hours for the scene of interest, and thus can provide data of a certain region of interest with lots of view angles. Consequently, employing GEO SAR for three-dimensional (3D) deformation retrieval can effectively address the drawbacks in LEO SAR cases, which are the lack of available data and the limited deformation retrieval accuracy. In this chapter, we first give some brief explanation about the reason why we should conduct 3D deformation retrieval instead of the simple one-dimensional (1D) line-of-sight (LOS) deformation measurement. Then, we focus on the GEO SAR 3D deformation retrieval by multi-angle measurement. To obtain the optimal accuracy, we consider the reasonable criterion to evaluate the 3D deformation measurement accuracy and implement it for optimal sub-aperture selection in 3D deformation retrieval.
© 2017 Science China Press and Springer-Verlag Berlin Heidelberg. Reprinted, with permission, from Science China Information Sciences.
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References
Massonnet D, Rossi M, Carmona C, Ardagna F, Peltzer G, Feigl K, Rabaute T (1993) The displacement field of the landers earthquake mapped by radar interferometry. Nature 364:138–142
Ferretti A, Guarnieri AM, Prati C, Rocca F, Massonnet D (2007) InSAR principles. ESA Publications, The Netherlands
Huang R, Fan X (2013) The landslide story. Nat Geosci 6:325–326
Li YH, Hu C, Long T (2015) A novel SAR interferometry processing method in high resolution spotlight SAR. J Electromag Waves Appl 29(13):1786–1803
Michel R, Avouac JP, Taboury J (1999) Measuring ground displacements from SAR amplitude images: application to the landers earthquake. Geophys Res Lett 26(7):875–878
Wright TJ, Parsons BE, Lu Z (2004) Toward mapping surface deformation in three dimensions using InSAR. Geophys Res Lett 31(1):L01607
Ansari H, Zan FD, Parizzi A, Eineder M, Goel K, Adam N (2016) Measuring 3-D surface motion with future SAR systems based on reflector antennae. IEEE Geosci Remote Sens Lett 13(2):272–276
Gudmundsson S, Sigmundsson F (2002) Three-dimensional surface motion maps estimated from combined interferometric synthetic aperture radar and GPS data. J Geophys Res 107(B10):2250
Samsonov S, Tiampo K (2006) Analytical optimization of a DInSAR and GPS dataset for derivation of three-dimensional surface motion. IEEE Geosci Remote Sens Lett 3(1):107–111
Bechor NBD, Zebker HA (2006) Measuring two-dimensional movements using a single InSAR pair. Geophys Res Lett 33(16):L16311
Jung HS, Lu Z, Shepherd A, Wright T (2015) Simulation of the SuperSAR multi-azimuth synthetic aperture radar imaging system for precise measurement of three-dimensional earth surface displacement. IEEE Trans Geosci Remote Sens 53(11):6196–6206
Jung HS, Won JS, Kim SW (2009) An improvement of the performance of multiple-aperture SAR interferometry (MAI). IEEE Trans Geosci Remote Sens 47(8):2859–2869
Jo MJ, Jung HS, Won JS (2015) Detecting the source location of recent summit inflation via three-dimensional InSAR observation of Kilauea Volcano. Remote Sens 7(11):14386–14402
Jung HS, Lee DT, Lu Z, Won JS (2013) Ionospheric correction of SAR interferograms by multiple-aperture interferometry. IEEE Trans Geosci Remote Sens 51(5):3191–3199
Jo MJ, Jung HS, Won JS, Poland MP, Miklius A, Lu Z (2014) Measurement of slow-moving along-track displacement from an efficient multiple—aperture SAR interferometry (MAI) stacking. IEEE Trans Geosci Remote Sens 52(6):3421–3427
Hu J, Li ZW, Ding XL, Zhu JJ, Zhang L, Sun Q (2012) 3D coseismic displacement of 2010 Darfield, New Zealand Earthquake estimated from multi-aperture InSAR and D-InSAR measurement. J Geophys Res 11:1029–1041
Hu C, Li Y, Dong X, Wang R, Cui C (2017a) Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry. Sci China Inf Sci 60(6)
Hu C, Li Y, Dong X, Wang R, Cui C, Zhang B (2017b) Three-dimensional deformation retrieval in geosynchronous SAR by multiple-aperture interferometry processing: Theory and Performance Analysis. IEEE Trans Geosci Remote Sens 55(11):6150–6169
Tomiyasu K (1978) Synthetic aperture radar in geosynchronous orbit. In: Proceedings of antennas and propagation society international symposium. College Park MD, USA, pp 42–45
Prati C, Rocca F, Giancola D, Monti A (1976) Passive geosynchronous SAR system reusing backscattered digital audio broadcasting signals. IEEE Trans Geosci Remote Sens 36:1973–1976
Monti-Guarnieri A, Bombaci O, Catalano TF, Germani C, Koppel C, Rocca F, Wadge G (2015) ARGOS: a fractioned geosynchronous SAR. Acta Astronaut. https://doi.org/10.1016/j.actaastro.2015.11.022
NASA, JPL, Global Earthquake Satellite System, a 20 year plan to enable earthquake prediction, 2003, (http://www.jpl.nasa.gov), 20 May 2005
Kou L, Wang X, Xiang M, Zhu M (2012) Interferometric estimation of three-dimensional surface deformation using geosynchronous circular SAR. IEEE Trans Aerosp Electron Syst 48(2):1619–1635
Stramondo S, Del Frate F, Picchiani M, Schiavon G (2011) Seismic source quantitative parameters retrieval from InSAR data and neural networks. IEEE Trans Geosci Remote Sens 49(1):96–104
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Long, T., Hu, C., Ding, Z., Dong, X., Tian, W., Zeng, T. (2018). Three Dimensional Deformation Retrieval in GEO D-InSAR. In: Geosynchronous SAR: System and Signal Processing. Springer, Singapore. https://doi.org/10.1007/978-981-10-7254-3_7
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DOI: https://doi.org/10.1007/978-981-10-7254-3_7
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