Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/21676
Title: | An iterative Goldstein SAR interferogram filter | Authors: | Zhao, C Zhang, Q Ding, X Zhang, J |
Issue Date: | 2012 | Publisher: | Taylor & Francis | Source: | International journal of remote sensing, 2012, v. 33, no. 11, p. 3443-3455 How to cite? | Journal: | International journal of remote sensing | Abstract: | This article presents a new modified Goldstein synthetic aperture radar (SAR) interferogram filter algorithm, named the iterative Goldstein filter. The main idea of this approach is to iteratively filter the SAR interferogram, by determining the filtering parameter alpha adaptively with respect to the pseudo-correlation value of the original and/or last filtered interferograms several times. The filter can be stopped automatically by pre-setting the threshold of mean value and the improvement of pseudo-correlation in given filter windows. Experimental results with both a simulated digital elevation model (DEM) interferogram and real SAR deformation interferogram show an improvement in the new algorithm results compared with those using the Goldstein filter, and its enhanced version, the Baran filter. In addition, from a pseudo-correlation map of the iteratively filtered interferogram, some valuable information can also be abstracted based on the signal residues. | URI: | http://hdl.handle.net/10397/21676 | ISSN: | 0143-1161 | EISSN: | 1366-5901 | DOI: | 10.1080/01431161.2010.532171 |
Appears in Collections: | Journal/Magazine Article |
Show full item record
SCOPUSTM
Citations
10
Last Week
0
0
Last month
0
0
Citations as of Feb 8, 2019
WEB OF SCIENCETM
Citations
8
Last Week
0
0
Last month
0
0
Citations as of Feb 16, 2019
Page view(s)
119
Last Week
0
0
Last month
Citations as of Feb 18, 2019

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.