利用地面控制点相位残差定权方法减弱InSAR轨道误差相位
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摘要
两次SAR图像成像时卫星位置的差异导致即使在平坦地区InSAR干涉图上也会有参考面相位存在。由于定轨精度有限,InSAR数据处理过程中需去除轨道误差相位。目前常用的去除轨道误差的方法为基于轨道状态矢量计算出初始基线,再根据地面控制点信息,利用最小二乘算法得到精密基线;或将初始基线对应的参考面相位去除后,再对剩余相位进行快速傅里叶变换或曲面拟合,得到趋势性相位再去除。由于去除参考面相位在去除大气相位和获取形变相位之前,因而基线精密估计的过程中易受到大气相位和形变相位的影响,影响形变解算结果。在实际应用中发现存在干涉图在去除参考面相位后依然有趋势性相位的现象,本文针对此现象考虑大气相位和形变相位影响,提出了利用地面控制点相位残差定权的基线估计方法,提高了估计形变结果的精度,模拟试验和实际应用表明该方法具有一定的有效性和可行性。
There are fringes caused by baseline in the interferogram even in flat area. This phase component is reference phase. At present,the common method of removing orbit error is to calculate the initial baseline based on the orbit state vector,and then the precision baseline is obtained by using the least square algorithm according to the information of the ground control points.Alternatively,fast Fourier transform or surface fitting is applied to get rid of the trend phase which is remained after the reference phase corresponding to the initial baseline is removed. Since the reference phase is eliminated before atmospheric delay phase and the deformation phase,the precision of baseline estimation is susceptible,which may affect the accuracy of deformation. Interferogram has a trend phase component after the reference phase is removed. Therefore,in this paper,a method of weight determination based on the phase residual of ground control points is proposed to improve the accuracy of baseline estimation. Simulation experiments and practical applications show that the method is effective and feasible.
There are fringes caused by baseline in the interferogram even in flat area. This phase component is reference phase. At present,the common method of removing orbit error is to calculate the initial baseline based on the orbit state vector,and then the precision baseline is obtained by using the least square algorithm according to the information of the ground control points.Alternatively,fast Fourier transform or surface fitting is applied to get rid of the trend phase which is remained after the reference phase corresponding to the initial baseline is removed. Since the reference phase is eliminated before atmospheric delay phase and the deformation phase,the precision of baseline estimation is susceptible,which may affect the accuracy of deformation. Interferogram has a trend phase component after the reference phase is removed. Therefore,in this paper,a method of weight determination based on the phase residual of ground control points is proposed to improve the accuracy of baseline estimation. Simulation experiments and practical applications show that the method is effective and feasible.
引文
[1]朱建军,李志伟,胡俊. In SAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
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[13] LIU G,HANSSEN R F,GUO H,et al. Nonlinear model for In SAR baseline error[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(9):5341-5351.
[14]师悦龄,刘国祥,汤伟尧,等.轨道误差对In SAR相位影响的BP神经网络去除法[J].测绘科学,2018(4):36-40.
[15] FERRETTI A,PRATI C,ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience&Remote Sensing,2001,39(1):8-20.
[16] BERARDINO P,FORNARO G,LANARI R,et al. A new algorithm for surface deforamtion monitoring based on small baseline dfferential SAR interferograms[J].IEEE Transactions on Geoscience&Remote Sensing,2002,40(11):2375-2383.
[17] SMALL D,WERNER C,NUESCH D. Baseline modelling for ERS-1 SAR interferometry[C]∥Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,1993:1204-1206.
[18] XU P. On robust estimation with correlated observa-tions[J]. Bulletin Géodésique,1989,63(3):237-252.
[19] XU P. Consequences of constant parameters and confidence intervals of robust estimation[J]. Boll. Geod. Sc. Affini,1993,52(3):231-249.
[20] PENG J. Jointly robust estimation of unknown parameters and variance components based on expectation-maximization algorithm[J]. Journal of Surveying Engineering,2009,135(1):1-9.
[21]张庆君.高分三号卫星总体设计与关键技术[J].测绘学报,2017,46(3):269-277.
[2] ZHANG L,WU J,DING X,et al. The propagation of orbital errors in the 3-pass DIn SAR processing[C]∥Conference on Synthetic Aperture Radar,2007. Asian and Pacific.[S.l.]:IEEE,2007:550-554.
[3]杨红磊,彭军还,张丁轩,等.轨道误差对In SAR数据处理的影响[J].测绘科学技术学报,2012,29(2):118-121.
[4]王之栋,唐新明,李涛. In SAR时空基线对DEM精度的影响分析[J].测绘通报,2018(2):61-66.
[5] BIGGS J,WRIGHT T,LU Z,et al. Multi-interferogram method for measuring interseismic deformation:Denali fault,Alaska[J]. Geophysical Journal of the Royal Astronomical Society,2010,170(3):1165-1179.
[6] WANG T,JONSSON S. Phase-ramp reduction in interseismic interferograms from pixel-offsets[J]. IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2014,7(5):1709-1718.
[7] ROSEN P A,HENSLEY S,PELTZER G,et al. Updated repeat orbit interferometry package released[J]. Eos Transactions American Geophysical Union,2013,85(5):47-47.
[8] KOHLHASE A O,FEIGL K L,MASSONNET D. Applying differential In SAR to orbital dynamics:a new approach for estimating ERS trajectories[J]. Journal of Geodesy,2003,77(9):493-502.
[9] PEPE A,BERARDINO P,BONANO M,et al. SBASbased satellite orbit correction for the generation of DIn SAR time-series:application to RADARSAT-1 data[J]. IEEE Transactions on Geoscience&Remote Sensing,2011,49(12):5150-5165.
[10] BHR H,HANSSEN R F. Reliable estimation of orbit errors in spaceborne SAR interferometry[J]. Journal of Geodesy,2012,86(12):1147-1164.
[11] WANG H,WRIGHT T J,BIGGS J. Interseismic slip rate of the northwestern Xianshuihe fault from In SAR data[J]. Geophysical Research Letters,2009,36(3):139-145.
[12] ZHANG L,DING X,LU Z,et al. A novel multitemporal In SAR model for joint estimation of deformation rates and orbital errors[J]. IEEE Transactions on Geoscience and Remote Sensing,2014,52(6):3529-3540.
[13] LIU G,HANSSEN R F,GUO H,et al. Nonlinear model for In SAR baseline error[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(9):5341-5351.
[14]师悦龄,刘国祥,汤伟尧,等.轨道误差对In SAR相位影响的BP神经网络去除法[J].测绘科学,2018(4):36-40.
[15] FERRETTI A,PRATI C,ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience&Remote Sensing,2001,39(1):8-20.
[16] BERARDINO P,FORNARO G,LANARI R,et al. A new algorithm for surface deforamtion monitoring based on small baseline dfferential SAR interferograms[J].IEEE Transactions on Geoscience&Remote Sensing,2002,40(11):2375-2383.
[17] SMALL D,WERNER C,NUESCH D. Baseline modelling for ERS-1 SAR interferometry[C]∥Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,1993:1204-1206.
[18] XU P. On robust estimation with correlated observa-tions[J]. Bulletin Géodésique,1989,63(3):237-252.
[19] XU P. Consequences of constant parameters and confidence intervals of robust estimation[J]. Boll. Geod. Sc. Affini,1993,52(3):231-249.
[20] PENG J. Jointly robust estimation of unknown parameters and variance components based on expectation-maximization algorithm[J]. Journal of Surveying Engineering,2009,135(1):1-9.
[21]张庆君.高分三号卫星总体设计与关键技术[J].测绘学报,2017,46(3):269-277.