An analysis of the influence of filtering parameter on the performance of Goldstein InSAR interfergram filter

doi:10.6046/gtzyyg.2019.01.16

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Abstract

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.

Keywords interferometric synthetic aperture Radar (InSAR) interferogram filtering noise Goldstein filter filtering parameters

TP79

Corresponding Authors: Dejing QIAO E-mail: djqiao@stu.xust.edu.cn

Issue Date: 15 March 2019

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	Nianqin WANG
	Dejing QIAO
	Xiyou FU

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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[J]. Remote Sensing for Land & Resources, 2019, 31(1): 117-124.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.01.16 OR https://www.gtzyyg.com/EN/Y2019/V31/I1/117

Fig.1 Detection of RPN

Fig.2 Results of simulated images

Fig.3 Filtering results of simulated images with different filtering parameters

Tab.1 Effect evaluation of simulated phase diagram

Fig.4 Images (C band) of study area

Fig.5 Filtering results of real images (C band) with different filtering parameters

Fig.6 Images (L band) of study area

Fig.7 Filtering results of real images (L band) with different filtering parameters

Tab.2 Effect evaluation of real phase diagram

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