Improved Adaptive Goldstein Interferogram Filter Based on Second Kind Statistics

doi:10.11947/j.AGCS.2016.20150457

Abstract

Abstract:

Interferometric filtering is one of the most important procedures in InSAR data processing as it refers to the quality of phase observations and the final products. A variant under the framework of Goldstein filter is presented in this paper, which is based on the robust coherence estimator from the second kind statistics. Compared with the state-of-the-art, the significant advantage of the new method is that more accurate filtering parameter alpha can be deduced and therefore better performance of the Goldstein filtering can be expected. Experimental results from both simulation and real Envisat ASAR data demonstrate the value of the method.

Key words: Goldstein filter, phase noise, second kind statistics, coherence

CLC Number:

P237

ZHAO Wensheng, JIANG Mi, HE Xiufeng. Improved Adaptive Goldstein Interferogram Filter Based on Second Kind Statistics[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(10): 1200-1209.

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