A New PSInSAR Algorithm Based on Sentinel-1 Consecutive Interferograms

doi:10.13474/j.cnki.11-2246.2018.0379

Abstract

Abstract: The traditional PSInSAR algorithm use single master baseline configuration, which may cause low coherence and complicated workflow. Aiming at this problem, this paper makes use of the data of Sentinel-1 which have shorter temporal and perpendicular baseline,introduces consecutive interferograms.This new baseline configuration forms interferograms between two images adjacent in acquisition time,which can improve coherence,so that higher quality of interferograms and PS points,and more accurate phase unwrapping results can be got.And a new algorithm based on this new baseline configuration properties for estimating topographic error phase by interferograms difference are introduced at the same time,and in this way more accurate results can be achieved.We acquire 32 Sentinel-1B images over Tianjin city from November 2016 to January 2018,to detect subsidence of this area.As a result,31 consecutive interferograms are formed,we use time series analysis to generate the subsidence velocity map over Tianjin city,and finally compare the results to levelling data to validate this new algorithm.

Key words: PSInSAR, coherence, consecutive interferogram, subsidence observation

CLC Number:

P237

LIU Fei, PAN Bin. A New PSInSAR Algorithm Based on Sentinel-1 Consecutive Interferograms[J]. 测绘通报, 2018, 0(12): 30-35.

References

[1] CROSETTO M,MONSERRAT O,CUEVAS-GONZÁLEZ M,et al.Persistent Scatterer Interferometry:A Review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2016,115:78-89.
[2] FERRETTI A,PRATI C,ROCCA F.Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,1999,39(1):8-20.
[3] 陈强,刘国祥,丁晓利,等.永久散射体雷达差分干涉应用于区域地表沉降探测[J].地球物理学报,2007,50(3):737-743.
[4] FERRETTI A,PRATI C,ROCCA F.Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[5] TORRES R,SNOEIJ P,GEUDTNER D,et al.GMES Sentinel-1 Mission[J].Remote Sensing of Environment,2012,120(6):9-24.
[6] YAGÜE-MARTÍNEZ N,PRATS-IRAOLA P,GONZÁLEZ F R,et al.Interferometric Processing of Sentinel-1 TOPS Data[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(4):2220-2234.
[7] 李永生,冯万鹏,张景发,等.2014年美国加州纳帕M_W6.1地震断层参数的Sentinel-1A InSAR反演[J].地球物理学报,2015,58(7):2339-2349.
[8] JIANG H,FENG G,WANG T,et al.Toward Full Exploitation of Coherent and Incoherent Information in Sentinel-1 TOPS Data for Retrieving Surface Displacement:Application to the 2016 Kumamoto (Japan) Earthquake[J].Geophysical Research Letters,2017,44(4):1758-1767.
[9] FATTAHI H,AGRAM P,SIMONS M.A Network-based Enhanced Spectral Diversity Approach for TOPS Time-series Analysis[J].IEEE Transactions on Geoscience and Remote Sensing,2016,55(2):777-786.
[10] ZEBKER H A,VILLASENOR J.Decorrelation in Interferometric Radar Echoes[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30(5):950-959.
[11] BERARDINO P,FORNARO G,LANARI R,et al.A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[12] HOOPER A,ZEBKER H,SEGALL P,et al.A New Method for Measuring Deformation on Volcanoes and Other Natural Terrains Using InSAR Persistent Scatterers[J].Geophysical Research Letters,2004,31(23):1-5.
[13] COSTANTINI M,MALVAROSA F,MINATI F,et al.A Three-dimensional Phase Unwrapping Algorithm for Processing of Multitemporal SAR Interferometric Measurements[C]//IEEE International Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,2002:1741-1743.
[14] HOOPER A,SEGALL P,ZEBKER H.Persistent Scatterer Interferometric Synthetic Aperture Radar for Crustal Deformation Analysis,with Application to Volcán Alcedo,Galápagos[J].Journal of Geophysical Research Solid Earth,2007,112(B7):1-21.
[15] RUCCI A,FERRETTI A,GUARNIERI A M,et al.Sentinel-1 SAR Interferometry Applications:The Outlook for Sub millimeter Measurements[J].Remote Sensing of Environment,2012,120(10):156-163.
[16] GUO J,HU J,LI B,et al.Land Subsidence in Tianjin for 2015 to 2016 Revealed by the Analysis of Sentinel-1A with SBAS-InSAR[J]. Journal of Applied Remote Sensing,2017,11(2):026024.
[17] LÓPEZ-QUIROZ P,DOIN M P,TUPIN F,et al.Time Series Analysis of Mexico City Subsidence Constrained by Radar Interferometry[J]. Journal of Applied Geophysics,2009,69(1):1-15.