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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Lenguaje: | English |
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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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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 |
_version_ |
1718442077412392960 |