On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices
暂无分享,去创建一个
[1] Laurent Ferro-Famil,et al. Unsupervised terrain classification preserving polarimetric scattering characteristics , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[2] Maher Moakher,et al. A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices , 2005, SIAM J. Matrix Anal. Appl..
[3] Philippe Forster,et al. Performance Analysis of Covariance Matrix Estimates in Impulsive Noise , 2008, IEEE Transactions on Signal Processing.
[4] Fulvio Gini,et al. Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter , 2002, Signal Process..
[5] Gabriel Vasile,et al. Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[6] Eric Pottier,et al. An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..
[7] P. Terrier,et al. Geodesic distance on non-singular coherency matrix space in polarization optics. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.
[8] Thomas L. Ainsworth,et al. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier , 1999, IEEE Trans. Geosci. Remote. Sens..
[9] Giuseppe Ricci,et al. Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection , 2002, IEEE Trans. Signal Process..
[10] Philippe Forster,et al. Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis , 2008, IEEE Transactions on Signal Processing.
[11] F. Barbaresco. Innovative tools for radar signal processing Based on Cartan’s geometry of SPD matrices & Information Geometry , 2008, 2008 IEEE Radar Conference.