SAR Target Configuration Recognition Using Locality Preserving Projections

摘要：

Because of the special imaging mechanism of Synthetic Aperture Radar (SAR) and the existence of the speckle noise, SAR target configuration recognition has been a hard task in SAR target recognition. We propose a method of SAR target configuration recognition by using the Locality Preserving Projections (LPP), which is a subspace analytical method based on manifold learning. The proposed method extracts features from SAR images in the manifold space which is more suitable for the real SAR images than the Euclidean space. The feature extraction method by LPP not only preserves the global topology structure, but also captures the local information of the target with different configurations. Experimental results on MSTAR datasets suggest that the proposed method can provide a higher recognition rate in SAR target configuration recognition.

关键词： SAR target recognition manifold learning configuration recognition Locality Preserving Projections

作者: Ming Liu Yan Wu Quan Zhao Lu Gan

作者单位: School of Electronics Engineering, Xidian University, Xi’an, 710071, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 740-743

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）