| 基于多尺度特征融合的红外小目标检测方法 |
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| 引用本文： | 王芳,李传强,伍博,于坤,金婵,陈亚珂,卢颖慧. 基于多尺度特征融合的红外小目标检测方法[J]. 红外技术, 2021, 43(7): 688-695 |
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| 作者姓名： | 王芳 李传强 伍博 于坤 金婵 陈亚珂 卢颖慧 |
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| 作者单位： | 河南师范大学 电子与电气工程学院,河南新乡 453007;中国科学院界面物理技术重点实验室,上海 201800;河南师范大学 电子与电气工程学院,河南新乡 453007;河南师范大学 电子与电气工程学院,河南新乡 453007;河南省光电传感集成应用重点实验室,河南新乡 453007;河南省光电传感集成应用重点实验室,河南新乡 453007;中国科学院界面物理技术重点实验室,上海 201800 |
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| 基金项目： | 河南省科技创新研究团队项目21IRTSTHN011国家自然科学基金项目62075057中国科学院界面物理技术重点实验CASKL-IPT2003 |
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| 摘 要： | 红外小目标检测因其探测距离远、抗干扰能力强等特点,在空中目标探测与跟踪系统中得到了广泛的应用.针对目前红外小目标检测算法在复杂背景下检测准确率低、虚警率高等缺点.提出了一种基于多尺度特征融合的端到端红外小目标检测模型(multi-scale feature fusion single shot multibox det...
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| 关 键 词： | 注意力机制 红外小目标 SSD 多尺度特征融合 |
| 收稿时间： | 2021-03-24 |
Infrared Small Target Detection Method Based on Multi-Scale Feature Fusion |
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| Affiliation: | 1.College of Electronic and Electrical Engineering, Henan Normal University, Xinxiang 453007, China2.Key laboratory of interfacial Physics Technology project, Chinese Academy of Sciences, Shanghai 201800, China3.Henan Key Laboratory of Optoelectronic Sensing Integrated Application, Xinxiang 453007, China |
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| Abstract: | Infrared small target detection is widely used in aerial target detection and tracking systems owing to its long detection range and strong anti-jamming ability. Aiming at to overcome the shortcomings of the current infrared small target detection algorithm, such as a low precision rate and high false alarm rate when dealing with complex backgrounds, we propose an end-to-end infrared small target detection model (called MFSSD) based on multi-scale feature fusion. Considering the traits of the targets, we propose a feature fusion module using a refinement and fusion feature map method and improve the correlation of different channels through the SP module. The experimental results of three different sequences of infrared image detection show that the average detection accuracy of the MFSSD algorithm for infrared small target detection was as high as 87.8%. Compared with those of the traditional multi-scale target detection algorithm, both the precision rate and recall rate have been significantly improved. |
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