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Content Provider | IET Digital Library |
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Author | Jie, Song qing, Cai Fu yan, Liu Heng Wei, Xiong |
Abstract | In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc. are obviously not suitable for the fitting of the background clutter of missile-borne SAR images. The target of the sea surface in SAR image usually has a heavy tail caused by the sea spike, while the KK distribution can better fit it. A two-stage CFAR detector with KK distribution is designed. The results show that KK distribution can fit the data well and the two-stage CFAR detector based on the KK distribution has good performances. |
Starting Page | 5644 |
Ending Page | 5647 |
Page Count | 4 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 19, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/19 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0360 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-05-30 |
Access Restriction | Open |
Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Subject Keyword | Gaussian Distribution KK Distribution Missile-borne SAR Image Missiles Normal Distribution Object Detection Optical, Image And Video Signal Processing Radar Clutter Radar Detection Radar Equipment Radar Imaging Radar Theory SAR Image Detection Sea Spike Sea Surface Sea Targets Simple Statistical Distribution Model Spaceborne Radar Statistical Distribution Statistics Synthetic Aperture Radar System And Application Target Tracking Two-stage CFAR Detector Two-step CFAR Detector Weibull Distribution |
Content Type | Text |
Resource Type | Article |
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