| 孟春宁,孙盛智,徐恒,常胜江.基于区域协方差矩阵特征与流形SVDD的SAR目标鉴别[J].光电子激光,2016,27(8):870~875 |
| 基于区域协方差矩阵特征与流形SVDD的SAR目标鉴别 |
| SAR target discrimination based on region covariance matrix feature and manifold SVDD |
| 投稿时间：2015-12-24 |
| DOI： |
| 中文关键词: 合成孔径雷达 目标鉴别 协方差矩阵 支持向量数据描述 流形 |
| 英文关键词:synthetic aperture radar target discrimination covariance matrix s upport vector data description maniofold |
| 基金项目:国家自然科学基金(61401105)资助项目 |
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| 中文摘要: |
| 为提高合成孔径雷达自动目标鉴别方法中鉴别特 征的可分性及鉴别器的 拒判性能,提出了一种基于区域协方差矩阵特征与一种迭代的SVDD相结合的目 标鉴别方法。融合多种纹理特征及其相关性,构造了一种基于区域协方差矩阵的 鉴别特征,该特征在实验中取得了良好的可分性且无需进一步的特征选择。将 SVDD的分类准则与协方差矩阵特征空间的流形结构相结合,设计了一种迭代流 形SVDD鉴别器,通过一种新的迭代方法选择SVDD的超球面中心代替Karcher均值点作为映射 基点。在RADARSAT-2实测数据上的实验结果验证了新方法的有效性。 |
| 英文摘要: |
| In order to improve the stability of the feature and the false reject rate of discriminator for SAR ATR,we propose a new target discrimination method based on region covariance matrix feature and an iterative manifold support vector data d escription (SVDD).A new discrimination feature based on the region covariance matrix is co nstructed, which fuses several single texture features and considers the correlations among these single features.These features can be separated easily in our experiments and further feature selection method is no longer required.A new iterative manifold SVDD discrimina tor is designed by combining the SVDD classification principles with the manifold struc ture of the covariance matrix feature space,which choose the center of the hypersphere in SVDD instead of the Karcher mean as the base point by a novel iterative algorithm.Ex perimental results on RADARST-2data demonstrate the effectiveness of the proposed method. |
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