期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 10, 期 3, 页码 456-460出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2208935
关键词
Atmospheric delay; DEM error; InSAR time series; orbital error; radar interferometry; robust regression; wavelet transforms
类别
资金
- European Space Agency [C1P-9539]
I present a multitemporal algorithm with an improved filtering scheme compared with earlier works that combines and inverts a large set of unwrapped interferograms to generate an accurate time series of the surface motion. This method statistically analyzes the interferometric phase noise to identify stable pixels. Then, it applies an iterative 2-D sparse phase unwrapping operator and low-pass filter to each interferogram to obtain reliable absolute phase changes. Moreover, it uses a re-weighted least squares approach to robustly estimate the time series of the surface motion, which is followed by a temporal low-pass filter that reduces the effects of atmospheric delay. During various stages of the analysis, this approach applies a variety of sophisticated wavelet-based filters to estimate the interferometric phase noise and to reduce the effects of systematic and random artefacts, such as spatially correlated and temporally uncorrelated components of the atmospheric delay, and the digital elevation model and orbital errors. To demonstrate the capability of this method for accurately measuring nonlinear surface motions, I analyze a large set of SAR data acquired by the ENVISAT satellite from 2003 through 2010 over the south flank of the Kilauea volcano, Hawaii. The validation test shows that my approach is able to retrieve the surface displacement with an average accuracy of 6.5 mm.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据