Title | ||
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A novel nonparametric method of ground moving target indication based on bi-channel SAR-ATI |
Abstract | ||
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The paper proposes a nonparametric method for ground moving-target indication (GMTI) using along-track interferometric synthetic aperture radar (SAR), which does not require the theoretical derivations of the joint probability density function of the interferometric magnitude and phase for both homogeneous and heterogeneous clutter. In the proposed approach, a best-fit curve is set as the detection threshold to separate moving targets from clutter and noise. A special technique, termed sliding-window technique, is then employed to reduce residual clutter and noise. The validity of the method has been demonstrated by the experiments performed on simulated spaceborne SAR data. |
Year | DOI | Venue |
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2012 | 10.1109/IGARSS.2012.6350533 | IGARSS |
Keywords | Field | DocType |
synthetic aperture radar,joint probability density function,homogeneous clutter,heterogeneous clutter,ground moving- target indication (gmti),nonparametric,best-fit curve,along-track interferometric synthetic aperture radar,spaceborne sar data,bichannel sar-ati,detection threshold,image denoising,synthetic aperture radar(sar),interferometric magnitude,along-track interferometry (ati),noise reduction,radar detection,object detection,interference suppression,radar interferometry,residual clutter reduction,spaceborne radar,gmti,nonparametric method,radar clutter,ground moving target indication,sliding-window technique,probability,histograms,probability density function,noise,clutter | Computer vision,Residual,Object detection,Moving target indication,Interferometric synthetic aperture radar,Synthetic aperture radar,Computer science,Clutter,Remote sensing,Artificial intelligence,Constant false alarm rate,Stationary target indication | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingjie Zheng | 1 | 0 | 2.03 |
Ruliang Yang | 2 | 12 | 4.62 |
Robert Wang | 3 | 16 | 12.75 |
Jiang Ni | 4 | 0 | 0.34 |