| 基于自适应Wiener滤波的红外小目标检测方法 |
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| 引用本文： | 聂洪山,沈振康.基于自适应Wiener滤波的红外小目标检测方法[J].红外技术,2004,26(6):54-57,61. |
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| 作者姓名： | 聂洪山 沈振康 |
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| 作者单位： | 国防科技大学电子科学与工程学院,ASIC研发中心;国防科技大学电子科学与工程学院,ATR实验室,湖南,长沙,410073 |
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| 摘 要： | 在分析红外场景模型的基础上提出了用自适应Wiener滤波器估计起伏背景、自适应门限分割、基于邻域管道目标检测的小目标检测方法。采用连续采集的红外图像序列进行了实验，仿真了不同信噪比(SNR)条件下的目标并给出了目标检测结果及其分析。结果表明，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。
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| 关 键 词： | 自适应Wiener滤波 红外图像序列 小目标 管道 |
| 文章编号： | 1001-8891(2004)06-0054-04 |
An Algorithm Based on Wiener Filter for Small Targets Detection in IR Image Sequences |
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| NIE Hong-shan,SHEN Zhen-kang.An Algorithm Based on Wiener Filter for Small Targets Detection in IR Image Sequences[J].Infrared Technology,2004,26(6):54-57,61. |
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| Authors: | NIE Hong-shan SHEN Zhen-kang |
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| Affiliation: | NIE Hong-shan1,SHEN Zhen-kang2 |
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| Abstract: | In this paper, IR scene model is first introduced, then an algorithm based on the clutter background suppression with adaptive Wiener filter is put foreword, and the small targets are detected with adaptive threshholding and neighborhood-pipeline detection method. Experiments are done with long-range IR image sequences. The results show that this algorithm can detect small targets within IR image sequence with SNR higher than 2.0. |
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| Keywords: | adaptive Wiener filter IR image sequence small targets pipeline |
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