An analysis of the influence of filtering parameter on the performance of Goldstein InSAR interfergram filter
Nianqin WANG1, Dejing QIAO1(), Xiyou FU2,3
1.College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China; 2.Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China 3.University of Chinese Academy of Sciences, Beijing 100049, China
To tackle the subjectivity of select filter parameters in Goldstein InSAR interferogram filtering, the authors adopted the experience value as Goldstein filter algorithm, and then introduced the coherent coefficient, the phase standard deviation, the pseudo coherent coefficient, the pseudo signal-to-noise ratio and the structure similarity as the adaptive filtering parameter of Goldstein interferogram filtering. After that, the authors used the simulation and the real interferometric data and carried out the detailed appraisal and the contrast analysis of the filter result. The results show that six filter parameters could suppress the noise and improve the quality of interference effectively. Among them, using the pseudo signal-to-noise as the filter parameters not only could suppress the noise and have more significant advantages in the edge information and fine pitch. Using structural similarity and pseudo signal-to-noise ratio can also achieve better filtering results. The filter result of other three kinds of filter parameter is relatively unsatisfactory.
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Nianqin WANG, Dejing QIAO, Xiyou FU. An analysis of the influence of filtering parameter on the performance of Goldstein InSAR interfergram filter. Remote Sensing for Land & Resources, 2019, 31(1): 117-124.
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2019, Vol. 31 
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