Fisher Vectors for PolSAR Image Classification

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In this letter we study the application of the Fisher Vector (FV) to the problem of pixel-wise supervised classification of PolSAR images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real part of these matrices...

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Detalles Bibliográficos
Autores principales: Redolfi, Javier A., Sánchez, Jorge, Flesia, Ana Georgina
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
PolSAR
fisher vectors
image classification
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/71074
http://47jaiio.sadio.org.ar/sites/default/files/CAI-14.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-71074
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
PolSAR
fisher vectors
image classification
spellingShingle Ciencias Informáticas
PolSAR
fisher vectors
image classification
Redolfi, Javier A.
Sánchez, Jorge
Flesia, Ana Georgina
Fisher Vectors for PolSAR Image Classification
topic_facet Ciencias Informáticas
PolSAR
fisher vectors
image classification
description In this letter we study the application of the Fisher Vector (FV) to the problem of pixel-wise supervised classification of PolSAR images. This is a challenging problem since information in those images is encoded as complex-valued covariance matrices. We observe that the real part of these matrices preserve the positive semidefiniteness property of their complex counterpart. Based on this observation, we derive a FV from a mixture of real Wishart pdfs and integrate it with a Potts-like energy model in order to capture spatial dependencies between neighboring regions. Experimental results on two challenging datasets show the effectiveness of the approach.
format Objeto de conferencia
Resumen
author Redolfi, Javier A.
Sánchez, Jorge
Flesia, Ana Georgina
author_facet Redolfi, Javier A.
Sánchez, Jorge
Flesia, Ana Georgina
author_sort Redolfi, Javier A.
title Fisher Vectors for PolSAR Image Classification
title_short Fisher Vectors for PolSAR Image Classification
title_full Fisher Vectors for PolSAR Image Classification
title_fullStr Fisher Vectors for PolSAR Image Classification
title_full_unstemmed Fisher Vectors for PolSAR Image Classification
title_sort fisher vectors for polsar image classification
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/71074
http://47jaiio.sadio.org.ar/sites/default/files/CAI-14.pdf
work_keys_str_mv AT redolfijaviera fishervectorsforpolsarimageclassification
AT sanchezjorge fishervectorsforpolsarimageclassification
AT flesiaanageorgina fishervectorsforpolsarimageclassification
bdutipo_str Repositorios
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