DocumentCode
1154352
Title
A Model-Spectrum-Based Flattening Algorithm for Airborne Single-Pass SAR Interferometry
Author
Xiang, Zheng ; Wang, Kaizhi ; Liu, Xingzhao
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai
Volume
6
Issue
2
fYear
2009
fDate
4/1/2009 12:00:00 AM
Firstpage
307
Lastpage
311
Abstract
An effective method is proposed to remove the flat-Earth phase (i.e., flattening) in airborne single-pass interferometric synthetic aperture radar (InSAR) imaging. Two conventional flattening methods, namely, the orbit-equation algorithm and the fringe-frequency algorithm, are used for comparison. The orbit-equation algorithm is theoretically accurate, but the orbit ephemeris that it requires is maybe inaccurate or even unknown. The fringe-frequency algorithm is effective in spaceborne InSAR flattening, but in airborne cases, a phase trend will remain in the residual interferogram with this method. To overcome these limitations, this letter presents a novel flattening algorithm by combining the two conventional methods for airborne single-pass InSAR flattening. By exploiting a reasonable model of the flat-Earth phase and the spectrum information of the practical interferogram, the proposed algorithm is able to flatten the interferogram accurately without knowledge of the airplane trajectory (except for the airplane height). Finally, some experimental results demonstrate the effectiveness of the proposed flattening algorithm.
Keywords
airborne radar; digital elevation models; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; topography (Earth); InSAR imaging; airborne single-pass interferometric synthetic aperture radar; conventional flattening methods; flat-Earth phase remove; fringe-frequency algorithm; orbit-equation algorithm; practical interferogram; spectrum information; Complex interferogram; digital elevation model (DEM); flat-Earth phase removal; synthetic aperture radar (SAR) interferometry;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2009.2012440
Filename
4781799
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