引用本文: | 方学立,梁甸农,董臻.基于HMM的FOPEN UWBSAR图像中的树干杂波抑制.[J].国防科技大学学报,2005,27(1):69-72.[点击复制] |
FANG Xueli,LIANG Diannong,DONG Zhen.Trunk Clutter Suppression in FOPEN UWBSAR Images Based on HMM[J].Journal of National University of Defense Technology,2005,27(1):69-72[点击复制] |
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基于HMM的FOPEN UWBSAR图像中的树干杂波抑制 |
方学立, 梁甸农, 董臻 |
(国防科技大学 电子科学与工程学院, 湖南 长沙 410073)
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摘要: |
树干杂波是叶簇穿透(FOPEN)超宽带合成孔径雷达(UWBSAR)图像中叶簇隐蔽目标检测的主要干扰,能否有效抑制树干杂波是目标检测成功与否的关键。利用UWBSAR的大积累角成像特性所提供的目标方向性信息,基于隐马尔可夫模型(HMM),提出了一种识别并抑制树干杂波的方法。试验结果表明,该方法可有效识别并抑制FOPEN UWBSAR图像中的树干杂波,增强叶簇隐蔽目标检测性能。 |
关键词: FOPEN UWBSAR 目标检测 树干杂波抑制 |
DOI: |
投稿日期:2004-09-08 |
基金项目:国家部委基金资助项目(41307020203) |
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Trunk Clutter Suppression in FOPEN UWBSAR Images Based on HMM |
FANG Xueli, LIANG Diannong, DONG Zhen |
(College of Electronic Science and Engineering, National Univ. of Defense Technology,Changsha 410073,China)
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Abstract: |
When detecting man made targets hidden in foliage in a FOPEN UWBSAR image, trunk clutter is the primary disturbance. Whether the detection can be performed successfully or not is dependent on the performance of the trunk clutter suppression. Based on Hidden Markov Modeling, a new trunk clutter recognition and suppression method is proposed. From the experiments results, the recognition method proposed in this paper can recognize the trunk clutter in UWBSAR image effectively, and improve the target detection performance in foliage. |
Keywords: FOPEN UWBSAR target detection trunk clutter suppression |
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