| 基于多步长梯度特征的红外弱小目标检测算法 |
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| 引用本文： | 万明,张凤鸣,胡双. 基于多步长梯度特征的红外弱小目标检测算法[J]. 光学学报, 2011, 0(10): 98-103 |
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| 作者姓名： | 万明 张凤鸣 胡双 |
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| 作者单位： | 空军工程大学工程学院;软件工程职业技术学院; |
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| 基金项目： | 国防预研基金(9140A17020307JB3207)资助课题 |
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| 摘 要： | 针对低信噪比红外图像中弱小目标检测难的问题,在分析红外弱小目标各向梯度特征的基础上,提出了一种新的红外弱小目标检测算法.该算法基于红外弱小目标各向梯度均快速下降的特征,首先根据目标大小在待检测点上、下、左、右选取4个参考点,根据多步长下待检测点与参考点之间的最大梯度特征,判定潜在目标；然后通过连续3帧检测信息的融合,确...
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| 关 键 词： | 成像系统 红外搜索与跟踪 目标检测 多步长梯度 信息融合 弱小目标 |
Novel Infrared Dim and Small Target Detection Algorithm Based on Multi-Scale Gradient |
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| Wan Ming Zhang Fengming Hu Shuang. Novel Infrared Dim and Small Target Detection Algorithm Based on Multi-Scale Gradient[J]. Acta Optica Sinica, 2011, 0(10): 98-103 |
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| Authors: | Wan Ming Zhang Fengming Hu Shuang |
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| Affiliation: | Wan Ming1 Zhang Fengming1 Hu Shuang2 |
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| Abstract: | To detect dim and small target in infrared image with low signal-to-noise ratio,a novel algorithm based on multi-scale gradient of gray level is presented.Firstly,for all points in an image,the algorithm selects up,down,left and right reference points around the current point according to the size of target,and identifies potential targets based on the maximum gradients between current point and reference points.Then,final targets are identified with the fusion of potential target detection results of the t... |
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| Keywords: | imaging systems infrared search and track target detection multi-scale gradient information fusion dim and small target |
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