An Advanced algorithm for surface deformation monitoring of an airport taxiway by GB-SAR

摘要

In this paper, we propose an advanced algorithm for high resolution surface deformation monitoring of an airport taxiway with a focus on distributed scatterers by Ground based synthetic aperture radar (GB-SAR). The presented technique is based on an appropriate combination of differential interferograms produced by data pairs acquired in the whole observation period to recover the real phase of the distributed scatterers. The application of stack several GB-SAR data in a short observation period increases the signal to noise ratio of GB-SAR images. But, at the meantime, stacking method loose the temporal sampling rate. After stacking, the appropriate combination of Interferograms were generated. Then, a linear model which estimated a regression line of the interferometry phase of coherent scatters is used to filter out the atmospheric phase artifact. Next, the singular value decomposition (SVD) method is applied to estimate the real phase of a fixed distributed scatter. The SVD is used to evaluate the combination matrix that gives the minimum-norm least square solution of the real phase，according to the detected deformation. Unfortunately, these procedures requires a large cumulative time for calculation. The proposed approach has been applied to monitoring a taxiway (distributed scatterers) in an airport. The deformation of the taxiway caused by the airplane passing is clearly observed.