机译:基于Wishart分布的PolSAR数据散斑减少模型
Inst. of Appl. Math., Acad. of Math. & Syst. Sci., Beijing, China;
covariance matrices; iterative methods; maximum likelihood estimation; minimisation; radar polarimetry; statistical distributions; synthetic aperture radar; variational techniques; PolSAR coherency data speckle reduction; TV regularization; WisTV-C; alternating minimization techniques; coherency matrix data despeckling; complex Wishart distribution; complex-valued matrices; convex relaxation iterative algorithm; covariance matrix data despeckling; maximum a posteriori estimate; multichannel total variation regularization; point scatterers; polarimetric scattering characteristics; polarimetric synthetic aperture radar; spatial resolution; statistical distribution; variable splitting; variational model; Adaptation models; Covariance matrices; Data models; Noise; Scattering; Speckle; TV; Polarimetric synthetic aperture radar (PolSAR); complex Wishart distribution; complexWishart distribution; multi-channel total variation; speckle reduction; variational model;
机译:基于K-Wishart分布的PolSAR数据自动船舶检测方法
机译:多视极化SAR图像和Wishart分布中产品模型的最佳散斑减少
机译:PolSAR图像分类的混合Wishart模型的变分学习
机译:基于Wishart分布和总变化正则化的PolSAR图像去斑
机译:基于分析算法的分析算法和应用于各个生态系统建模的分布算法和应用
机译:基于多时态PolSAR数据的基于统计分布特征的变化检测新方法
机译:基于复杂Wishart分类器的PolSAR数据作物物候估计的完整过程