J4 ›› 2011, Vol. 38 ›› Issue (4): 77-81+88.doi: 10.3969/j.issn.1001-2400.2011.04.014

• Original Articles • Previous Articles     Next Articles

New adaptive noise suppressing method for interferometric phase images

GUO Jiao;LI Zhenfang;LIU Yanyang;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2010-06-12 Online:2011-08-20 Published:2011-09-28
  • Contact: GUO Jiao E-mail:jiao.g@163.com

Abstract:

This paper proposes a new adaptive noise suppressing method for interferometric phase images. The key point of noise filtering for interferometric phase images is the selection of the independent and identically distributed (i.i.d.) samples. The proposed method determines filtering samples with the criterion of the minimum phase differences according to the region-growing strategy, and then computes the filtered phase in the complex domain. Due to the minimum phase difference, the proposed method selects the filtering samples that obey the i.i.d. assumption more accurately, thus improving the filtering performance. Finally, experiments carried out on simulated and real data confirm that the proposed method possesses a better filtering performance and has the ability to suppres the noise effectively while maintaining the interferogram details adequately.

Key words: synthetic aperture radar interferometry (InSAR), interferogram, phase filtering, adaptive region growing


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