| 引用本文: | 聂洪山,沈振康.一种基于Wiener滤波的红外背景抑制方法.[J].国防科技大学学报,2003,25(3):54-57.[点击复制] |
| NIE Hongshan,SHEN Zhenkang.An Algorithm Based on Wiener Filter for IR Background Suppression[J].Journal of National University of Defense Technology,2003,25(3):54-57[点击复制] |
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| 一种基于Wiener滤波的红外背景抑制方法 |
| 聂洪山, 沈振康 |
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(国防科技大学 ATR国家重点实验室，湖南 长沙 410073)
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| 摘要: |
| 红外图像序列中小目标的检测问题是当前的研究热点。为了检测起伏背景中的弱小目标，在理论分析的基础上提出了用Wiener滤波器去除起伏背景，然后进行自适应目标检测的小目标检测方法。采用连续采集的长波红外图像序列进行了实验研究，并给出了目标检测结果及其分析。结果表明，该算法能够从信噪比大于2.0的图像序列中检测出目标轨迹。 |
| 关键词: Wiener滤波 红外 背景抑制 小目标 |
| DOI： |
| 投稿日期：2002-12-15 |
| 基金项目: |
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| An Algorithm Based on Wiener Filter for IR Background Suppression |
| NIE Hongshan, SHEN Zhenkang |
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(ATR Lab, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The detection problem for small targets in IR image sequences is a hot topic nowadays. In order to detect small targets in IR clutter, an algorithm based on suppressing clutter background with Wiener filter and then detecting the small targets adaptively is put forward. Experiments are done with long-range IR image sequences, and results and analyses of these results are given. The results show that this algorithm can detect small targets within the IR image sequence with SNR higher than 2.0. |
| Keywords: Wiener filter background suppression IR small targets |
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