Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
We discuss in the paper the use of the Riemannian mean given by the differential geometric tools. This geometric mean is used in this paper for computing ...
Nov 14, 2011 · This geometric mean is used in this paper for computing the centers of class in the polarimetric H/α unsupervised classification process. We can.
This geometric mean is used in this paper for computing the centers of class in the polarimetric H/α unsupervised classification process.
We discuss in the paper the use of the Riemannian mean given by the differential geometric tools. This geometric mean is used in this paper for computing ...
On the Extension of the Product Model in POLSAR Processing for Unsupervised Classification Using Information Geometry of Covariance Matrices.
On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices. P Formont, JP ...
On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matricesmore. by Pierre ...
This paper presents a general approach for high- resolution polarimetric SAR data classification in heterogeneous clutter, based on a statistical test of ...
Geometric definition of the class centers in line with the structure of the covariance matrices space. Necessity of a non-Gaussian model for HR SAR images.
Apr 25, 2024 · On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices.