Título:
Vector probability diffusion
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Autor:
Pardo, Alvaro
Sapiro, Guillermo
Sapiro, Guillermo
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Classification
Contextual classification
partial differential equation (PDE)
Probability diffusion
Synthetic aper-ture radar (SAR) classification
Contextual classification
partial differential equation (PDE)
Probability diffusion
Synthetic aper-ture radar (SAR) classification
Descriptores:
Año de publicación:
2000
Contenido:
Resumen:
A method for isotropic and anisotropic diffusion of vector probabilities in general, and posterior probabilities in particular, is introduced. The technique is based on diffusing via coupled partial differential equations restricted to the semi-hyperplane corresponding to probability functions. Both the partial differential equations and their corresponding numerical implementation guarantee that the vector remains a probability vector, having all its components positive and adding to one. Applying the method to posterior probabilities in classification problems, spatial and contextual coherence is introduced before the MAP decision, thereby improving the classification results.
Descripción:
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Editorial:
IEEE
EN:
International Conference on Image Processing, 2000. Proceeding.
Financiadores:
Citación:
Pardo, Alvaro, Sapiro, Guillermo. Vector probability diffusion [en línea] International Conference on Image Processing, 2000.
Citación:
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