Title
Reduction of vibration-induced artifacts in synthetic-aperture-radar imagery using the fractional fourier transform
Abstract
In synthetic aperture radar (SAR) images of objects exhibiting low-level vibrations are accompanied by localized artifacts, or ghost targets, caused by the micro-Doppler present in the returned SAR signals. Conventional Fourier-transform-based SAR processing techniques are not fit to remove ghosting effects prior to image formation due to the non-stationary nature of the returned signals from vibrating objects. Recently, a method based on the discrete fractional Fourier transform (DFrFT) has been developed for estimating the instantaneous vibration accelerations and vibrating frequencies from returned SAR signals. Here, a novel image de-ghosting algorithm for vibrating targets in SAR imagery is proposed by employing the DFrFT-based vibration-estimation algorithm. The proposed de-ghosting method is applied to SAR data collected by the Lynx SAR system. Experimental results show a substantial reduction in ghosting caused by a 1.5-cm amplitude, 0.8-Hz vibration present in a test target.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467450
ICIP
Keywords
Field
DocType
sar processing techniques,synthetic aperture radar,sar imagery,instantaneous vibration accelerations,dfrft-based vibration-estimation algorithm,synthetic-aperture-radar imagery,image de-ghosting algorithm,vibrations,lynx sar system,image de-noising,synthetic aperture radar images,returned sar signals,low-level vibrations,discrete fourier transforms,vibrating target,vibrating targets,sar signals,ghost target,frequency 0.8 hz,vibrating frequencies,localized artifacts,vibrating objects,vibration-induced artifacts reduction,image formation,radar imaging,discrete fractional fourier transform,microdoppler present,fractional fourier transform
Computer vision,Radar imaging,Computer science,Synthetic aperture radar,Inverse synthetic aperture radar,Image formation,Artificial intelligence,Vibration,Test target,Fractional Fourier transform,Ghosting
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
1
PageRank 
References 
Authors
0.38
3
8
Name
Order
Citations
PageRank
Qi Wang1273.18
Matthew Pepin2272.84
Ralf Dunkel3283.53
Tom Atwood4273.18
Armin W. Doerry5272.84
Balu Santhanam6589.74
Walter Gerstle7323.85
Majeed M. Hayat821326.36