引用本文: | 周红建,李相迎,彭雄宏,等.从卫星SAR海洋图像中检测船目标[J].国防科技大学学报,1999,21(1):67-70.[点击复制] |
Zhou Hongjian,Li Xiangying,Peng Xionghong,et al.Detect Ship Targets from Satellite SAR Imagery[J].Journal of National University of Defense Technology,1999,21(1):67-70[点击复制] |
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从卫星SAR海洋图像中检测船目标 |
周红建, 李相迎, 彭雄宏, 王正志, 薄涛 |
(国防科技大学 自动控制系 湖南 长沙 410073)
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摘要: |
船在卫星SAR海洋图像中一般是以亮点的形式出现。本文先简要地介绍了船目标在卫星SAR海洋图像中的成像原理, 在此基础上介绍了三种检测船目标的方法——窗口滤波方法、自适应阈值法、概率密度函数法, 并运用实际的卫星SAR海洋图像对这三种算法进行了测试。测试结果表明, 后两种方法效果比较好。 |
关键词: SAR, 目标检测, 窗口滤波方法, 自适应阈值法, 概率密度函数法 |
DOI: |
投稿日期:1997-07-06 |
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Detect Ship Targets from Satellite SAR Imagery |
Zhou Hongjian, Li Xiangying, Peng Xionghong, Wang Zhenzhi, Bo Tao |
(Department of Automatic Control, NUDT, Changsha, 410073)
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Abstract: |
Ship targets are generally present in SAR ocean imagery as bright points. In this paper, we introduce the principle of imaging of ship targets first. Then we describe three methods of detecting ship targets from satellite SAR ocean imagery——running window filters method, adaptive limiting method and probability density function method. We have tested the methods by using the real SAR ocean imagery. The result of testing show that adaptive limiting method and probability density function method are good. |
Keywords: Synthetic Aperture Radar, Targer Detection, Running Windows Filters Method, Adaptive Limiting Method, Probability Density Function method |
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