Parameter estimation in SAR imagery using stochastic distances and asymmetric kernels

The Statistical modeling of the data is essential in order to interpret synthetic aperture radar (SAR) images. Speckled data have been described under the multiplicative model using the G family of distributions, which is able to describe rough and extremely rough areas better than the K distribut...

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Detalles Bibliográficos
Autores principales: Gambini, María Juliana, Cassetti, Julia Analía, Lucini, María Magdalena, Frery, Alejandro César
Formato: Artículo
Lenguaje:Inglés
Publicado: Institute of Electrical and Electronics Engineers Inc. 2024
Materias:
Feature extraction
Image texture analysis
Speckle
Statistics
Synthetic apertura radar
Acceso en línea:http://repositorio.unne.edu.ar/handle/123456789/55296
Aporte de:
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) de Universidad Nacional del Nordeste

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