| 基于区域的卷积神经网络在空对地车辆检测中的应用 |
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| 引用本文： | 彭玮航,王轲,刘少鹏,丁祝顺.基于区域的卷积神经网络在空对地车辆检测中的应用[J].导航与控制,2017,16(5):40-46. |
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| 作者姓名： | 彭玮航 王轲 刘少鹏 丁祝顺 |
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| 作者单位： | 北京航天控制仪器研究所,北京,100039 |
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| 摘 要： | 针对传统空对地车辆检测算法在光照变换、场景变化时检测效果不佳的问题,提出了基于区域卷积神经网络Faster RCNN模型的空对地车辆检测方法,介绍了Faster RCNN模型以及模型训练过程.实验结果表明,基于Faster RCNN的空对地车辆检测方法是可行的,对不同光照和场景下的车辆检测可以取得较好的效果.
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| 关 键 词： | 空对地图像 车辆检测 卷积神经网络 Faster RCNN |
Application of Region Based Convolutional Neural Network in Airborne Vehicle Detection |
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| PENG Wei-hang,WANG Ke,LIU Shao-peng and DING Zhu-shun.Application of Region Based Convolutional Neural Network in Airborne Vehicle Detection[J].Navigation and Control,2017,16(5):40-46. |
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| Authors: | PENG Wei-hang WANG Ke LIU Shao-peng and DING Zhu-shun |
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| Institution: | Beijing Institute of Aerospace Control Devices,Beijing 100039,Beijing Institute of Aerospace Control Devices,Beijing 100039,Beijing Institute of Aerospace Control Devices,Beijing 100039 and Beijing Institute of Aerospace Control Devices,Beijing 100039 |
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| Abstract: | Considering the deficiency of traditional airborne vehicle detection algorithms in illumination changing and scene variation,the airborne vehicle detection method based on region-convolutional neural network(Faster RCNN)is pro-posed.The faster RCNN model and its training procedure are described in this paper.The experiment results show that the airborne detection method based on Faster RCNN is feasible,good results can be achieved in different illumination and scene condition. |
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| Keywords: | airborne images vehicle detection convolutional neural network Faster RCNN |
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