Filtering method for SAR interferograms with strong noise

Z. W. Li, Xiaoli Ding, C. Huang, D. W. Zheng, W. B. Zou, Yu Kai Geoffrey Shea

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)

Abstract

We develop a filtering method for SAR interferograms with strong noise based on the concept of the Vondrák filter and the commonly used Goldstein filter. The one-dimensional Vondrák filter is first extended to two dimensions, and then utilized to smooth the Fourier spectra of overlapped interferogram patches. The smoothed spectra are then back-transformed into the interferogram space. Experimental results with simulated and real datasets show that the proposed filter can eliminate up to 70% of noise in a SAR interferogram. The results also show a 15% to 35% improvement over some of the existing filters when the noise in an interferogram is strong, and the stronger the noise in an interferogram, the greater is the improvement.
Original languageEnglish
Pages (from-to)2991-3000
Number of pages10
JournalInternational Journal of Remote Sensing
Volume27
Issue number14
DOIs
Publication statusPublished - 20 Jul 2006

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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