KummerU clutter model for PolSAR data: Application to segmentation and classification | Zendy

Lionel Bombrun | Zendy; Gabriel Vasile | Zendy; Michel Gay | Zendy; Frédéric Pascal | Zendy; JeanPhilippe Ovarlez | Zendy

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KummerU clutter model for PolSAR data: Application to segmentation and classification

Author(s) -

Lionel Bombrun,

Gabriel Vasile,

Michel Gay,

Frédéric Pascal,

JeanPhilippe Ovarlez

Publication year - 2010

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - clutter , artificial intelligence , pattern recognition (psychology) , synthetic aperture radar , probability density function , computer science , segmentation , covariance matrix , image segmentation , invariant (physics) , wishart distribution , covariance , context (archaeology) , contextual image classification , scalar (mathematics) , computer vision , mathematics , algorithm , radar , image (mathematics) , statistics , geography , machine learning , telecommunications , geometry , archaeology , multivariate statistics , mathematical physics

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