Atmospheric Artifacts Correction in Time Series InSAR
Using Network Methodology
1 Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, CEA,1 Anningzhuang Road， Beijing 100085,China
2 Institute of Engineering Mechanics, CEA, 29 Xuefu Road,Harbin 150080,China
3 College of Science and Technology Development,Wuhan University,129 Luoyu Road,Wuhan 430079,China
Abstract As a consequence of variability in water vapor content in the atmosphere, phase artifacts in interferometric synthetic aperture radar (InSAR) images (which are caused by path delays as the radar signal propagates through the stratified and turbulent atmosphere and ionosphere), frequently degrade the interpretability of the phase and correlation signatures of terrain. The effect of atmospheric delay consists of three parts. In this paper, the three phase delays are calculated using network methodology respectively. It is applied to 20 scenes of ENVISAT (ASAR) images from 2007 to 2010 over the Bengco zone of Tibet. The 1-D covariance function is used to estimate atmosphere artifacts. The experimental results suggest that after atmospheric effects are mitigated, the mean variance of the exponential function of the interferograms is reduced from 3.1mm2 to 0.6mm2, and the average e-folding wavelength is reduced from 1.5 km to 0.21 km, which means the APS correction has reduced the mean amplitude and wavelength of the covariance by about 80% and 86%, respectively.
LI Yongsheng,ZHANG Jingfa,JIANG Wenliang et al. Atmospheric Artifacts Correction in Time Series InSAR
Using Network Methodology[J]. jgg, 2015, 35(1): 145-149.
LI Yongsheng,ZHANG Jingfa,JIANG Wenliang et al. Atmospheric Artifacts Correction in Time Series InSAR
Using Network Methodology[J]. jgg, 2015, 35(1): 145-149.
