Classification of SAR images based on estimates of the parameters of the gA0 distribution

There are many statistical models for Synthetic Aperture Radar (SAR) images. Among them, the multiplicative model is based on the assumption that the observed random field Z is the result of the product of two independent and unobserved random fields: X and Y. The random field X models the backscatt...

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Detalles Bibliográficos
Autores principales: Chomczimsky, W., Mejail, M., Jacobo-Berlles, J.C., Varela, A., Kornblit, F., Frery, A.C., Preteux F., Davidson J.L., Dougherty E.R.
Formato: CONF
Materias:
Asymptotic stability
Backscattering
Convergence of numerical methods
Mathematical models
Maximum likelihood estimation
Parameter estimation
Probability density function
Probability distributions
Radar imaging
Speckle
Statistical methods
Synthetic aperture radar
Image classification
Multiplicative model
Statistical models
Supervised classification
Unsupervised classification
Image analysis
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0277786X_v3457_n_p202_Chomczimsky
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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