一种基于集成卷积神经网络的SAR图像目标识别算法OACSTPCD
A SAR Image Target Recognition Algorithm Based on Ensemble Convolutional Neural Network
针对合成孔径雷达(Synthetic Aperture Radar,SAR)图像目标识别问题,提出了一种基于集成卷积神经网络(Convolutional Neural Network,CNN)的SAR图像目标识别方法.首先对原始数据集进行数据增强的预处理操作,以扩充训练样本;接着通过重采样的方法从训练样本中获取不同的训练子集,并在训练各基分类器时引入Dropout和Padding操作,有效增强了网络泛化能力;然后采用Adadelta算法与Nest…查看全部>>
For the problem of target recognition in synthetic aperture radar(SAR)image target recognition,a method of SAR image target recognition based on the ensemble convolutional neural network(CNN)is proposed.Firstly,the data-enhanced preprocessing operation of the original data set is performed to expand the training samples.Secondly,different training subsets are obtained from the training samples by resampling,and Dropout and Padding operations are introduced w…查看全部>>
李汪华;张贞凯
江苏科技大学 海洋学院,江苏 镇江 212100江苏科技大学 海洋学院,江苏 镇江 212100
电子信息工程
雷达目标识别合成孔径雷达(SAR)卷积神经网络(CNN)Ada_Nesterov动量法网络集成
radar target recognitionsynthetic aperture radar(SAR)convolutional neural network(CNN)Ada_Nesterov momentum algorithmnetwork ensemble
《电讯技术》 2023 (12)
1918-1924,7
国家自然科学基金资助项目(61871203)
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