SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA

This paper presents a new method to perform sea/ice discrimination in single-pass ERS-2 scatterometer data. Existing methods are 1rst reviewed and compared in a consistent framework. Next, the ice probability according to the individual existing methods is learned through the use of a neural network...

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Autores principales: Neyt,Xavier, Pettiaux,Pauline, Manise,Nicolas, Acheroy,Marc
Lenguaje:English
Publicado: Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción 2004
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021
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spelling oai:scielo:S0717-653820040003000212005-05-16SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATANeyt,XavierPettiaux,PaulineManise,NicolasAcheroy,Marc Scatterometry ice discrimination neural network This paper presents a new method to perform sea/ice discrimination in single-pass ERS-2 scatterometer data. Existing methods are 1rst reviewed and compared in a consistent framework. Next, the ice probability according to the individual existing methods is learned through the use of a neural network. Finally, the individual criteria are combined together in order to increase the sea-ice discrimination accuracy. The proposed method is shown to provide an acceptable performance even on single-pass data, i.e., without requiring temporal averaginginfo:eu-repo/semantics/openAccessFacultad de Ciencias Naturales y Oceanográficas, Universidad de ConcepciónGayana (Concepción) v.68 n.2 suppl.TIIProc 20042004-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021en10.4067/S0717-65382004000300021
institution Scielo Chile
collection Scielo Chile
language English
topic Scatterometry
ice discrimination
neural network
spellingShingle Scatterometry
ice discrimination
neural network
Neyt,Xavier
Pettiaux,Pauline
Manise,Nicolas
Acheroy,Marc
SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
description This paper presents a new method to perform sea/ice discrimination in single-pass ERS-2 scatterometer data. Existing methods are 1rst reviewed and compared in a consistent framework. Next, the ice probability according to the individual existing methods is learned through the use of a neural network. Finally, the individual criteria are combined together in order to increase the sea-ice discrimination accuracy. The proposed method is shown to provide an acceptable performance even on single-pass data, i.e., without requiring temporal averaging
author Neyt,Xavier
Pettiaux,Pauline
Manise,Nicolas
Acheroy,Marc
author_facet Neyt,Xavier
Pettiaux,Pauline
Manise,Nicolas
Acheroy,Marc
author_sort Neyt,Xavier
title SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
title_short SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
title_full SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
title_fullStr SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
title_full_unstemmed SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
title_sort single-pass sea/ice discrimination using ers-2 scatterometer data
publisher Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción
publishDate 2004
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021
work_keys_str_mv AT neytxavier singlepassseaicediscriminationusingers2scatterometerdata
AT pettiauxpauline singlepassseaicediscriminationusingers2scatterometerdata
AT manisenicolas singlepassseaicediscriminationusingers2scatterometerdata
AT acheroymarc singlepassseaicediscriminationusingers2scatterometerdata
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