| 基于卡尔曼滤波器的背景抑制及小目标检测 |
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| 引用本文： | 刘志军,陈朝阳,沈绪榜,苏旭武.基于卡尔曼滤波器的背景抑制及小目标检测[J].华中科技大学学报(自然科学版),2004,32(12):7-9. |
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| 作者姓名： | 刘志军 陈朝阳 沈绪榜 苏旭武 |
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| 作者单位： | 华中科技大学,图像识别与人工智能研究所,湖北,武汉,430074 |
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| 摘 要： | 提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法，相比较于传统的梯度下降算法，该方法充分利用了假设的杂波图像模型，并且算法中也没有影响检测性能的步长参数，因而具有更好的检测性能，实验表明，该方法能有效地抑制杂波，并同时增强小目标的信号。
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| 关 键 词： | 目标检测 杂波抑制 自适应滤波器 卡尔曼滤波器 |
| 文章编号： | 1671-4512(2004)12-0007-03 |
| 修稿时间： | 2004年5月10日 |
Background suppression and small targets detection based on Kalman filters |
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| Liu Zhijun Chen Chaoyang Shen Xubang Su Xuwu Liu Zhijun Doctoral Candidate, Institute for Pattern Recognition and Artificial Intelligence,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..Background suppression and small targets detection based on Kalman filters[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(12):7-9. |
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| Authors: | Liu Zhijun Chen Chaoyang Shen Xubang Su Xuwu Liu Zhijun Doctoral Candidate Institute for Pattern Recognition and Artificial Intelligence Huazhong Univ of Sci & Tech Wuhan China |
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| Institution: | Liu Zhijun Chen Chaoyang Shen Xubang Su Xuwu Liu Zhijun Doctoral Candidate, Institute for Pattern Recognition and Artificial Intelligence,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
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| Abstract: | A small target detection method using Kalman filter as the clutter background prediction was presented. Compared with the conventional gradient descent algorithm, the proposed scheme possessed better detection performance thanks to the supposed clutter image model. It had no stepsize parameter affecting detection performance. Experiments showed that the clutter could be suppressed and the signal of targets enhanced at the same time by the proposed detection scheme. |
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| Keywords: | targets detection clutter suppression adaptive filter Kalman filter |
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