Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13824
Title: Filtering method for SAR interferograms with strong noise
Authors: Li, ZW
Ding, XL 
Huang, C
Zheng, DW
Zou, WB
Shea, YK 
Issue Date: 2006
Publisher: Taylor & Francis
Source: International journal of remote sensing, 2006, v. 27, no. 14, p. 2991-3000 How to cite?
Journal: International journal of remote sensing 
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.
URI: http://hdl.handle.net/10397/13824
ISSN: 0143-1161
EISSN: 1366-5901
DOI: 10.1080/01431160500522692
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