基于改进的稀疏保持投影的SAR目标特征提取与识别

韩萍 王欢

韩萍, 王欢. 基于改进的稀疏保持投影的SAR目标特征提取与识别[J]. 雷达学报, 2015, 4(6): 674-680. doi: 10.12000/JR15068
引用本文: 韩萍, 王欢. 基于改进的稀疏保持投影的SAR目标特征提取与识别[J]. 雷达学报, 2015, 4(6): 674-680. doi: 10.12000/JR15068
HAN Ping, WANG Huan. Synthetic Aperture Radar Target Feature Extraction and Recognition Based on Improved Sparsity Preserving Projections[J]. Journal of Radars, 2015, 4(6): 674-680. doi: 10.12000/JR15068
Citation: HAN Ping, WANG Huan. Synthetic Aperture Radar Target Feature Extraction and Recognition Based on Improved Sparsity Preserving Projections[J]. Journal of Radars, 2015, 4(6): 674-680. doi: 10.12000/JR15068

基于改进的稀疏保持投影的SAR目标特征提取与识别

doi: 10.12000/JR15068
基金项目: 

国家自然科学基金(61571442, 61471365),国家自然科学基金重点项目(61231017),中央高校基金(3122014C004)

详细信息
    作者简介:

    韩萍(1966–),女,天津人,教授,硕士生导师,中国民航大学智能信号与图像处理天津市重点实验室,研究方向为图像处理与模式识别、SAR目标检测与识别等。E-mail:hanpingcauc@163.com;王欢(1990–),女,安徽安庆人,硕士生,江西省机场集团公司九江机场分公司,研究方向为合成孔径雷达目标识别。E-mail:tianjinwanghuan@126.com

    通讯作者:

    韩萍hanpingcauc@163.com

Synthetic Aperture Radar Target Feature Extraction and Recognition Based on Improved Sparsity Preserving Projections

Funds: 

The National Natural Science Foundation of China (61571442, 61471365), The State Key Program of National Natural Science Foundation of China (61231017), The Fundamental Research Funds for the Central Universities (3122014C004)

  • 摘要: 提出了一种改进的稀疏保持投影(Sparsity Preserving Projections, SPP)特征提取方法。该方法将SPP特征提取与局部保持投影(Locality Preserving Projection, LPP)特征提取思想相结合,构造新的目标函数求解投影向量,保证了投影空间内样本的稀疏重构误差达到最小的同时使同类样本间距最小。利用美国运动和静止目标获取与识别(Moving and Stationary Target Acquisition and Recognition, MSTAR)实测SAR数据进行实验,实验结果表明在不利用目标成像方位信息情况下平均识别率最高可达97.81%,明显地提高了目标的识别结果,是一种有效的SAR目标识别方法。

     

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出版历程
  • 收稿日期:  2015-05-28
  • 修回日期:  2015-09-16

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