Title :
A Modification to Goldstein algorithm for TerraSAR-X interferometic phase filter
Author :
Lu, Ying ; Lei, Zhiyong ; Li, Hanshan ; Ni, Weiping ; Yan, Weidong ; Bian, Hui
Author_Institution :
Sch. of Electron. Inf. Eng., Xi´´an Technol. Univ., Xi´´an, China
Abstract :
In Goldstein algorithm, the filter parameter is a pre-chosen parameter and affects the quality of interferometric phase (IP) filtering in InSAR processing if the parameter improperly. In this paper we present a novel adaptive filtering parameter construct method for the TerraSAR-X IP filter. Analyzed the relationship between the coherence and the phase standard deviation by the probability density function of the IP, the coherence can be used as a standard of IP´s quality. We use sine function of absolute value of complex coherence to modify the existing algorithm. The new filtering parameter can avoid the over-filtering or un-filtering. The improved algorithm is successfully used in both simulated data and TerraSAR-X datasets filtering. The experiment results showed this method can filter the noise effectively and also preserve phase resolution and fringe information of the IP.
Keywords :
adaptive filters; coherence; probability; spaceborne radar; synthetic aperture radar; IP quality; InSAR processing; TerraSAR-X interferometic phase filter; adaptive filtering parameter; coherence; goldstein algorithm; probability density function; standard deviation; Adaptive filters; Filtering algorithms; Information filtering; Information filters; Partial response channels; Phase noise; Probability density function; Satellites; Spaceborne radar; Synthetic aperture radar interferometry; Complex coherence; Filter parameter; Interferometric phase; Modification Goldstein algorithm; TerraSAR-X;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451745