| Registro completo |
| Provedor de dados: |
Gayana
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| País: |
Chile
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| Título: |
SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
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| Autores: |
Neyt,Xavier
Pettiaux,Pauline
Manise,Nicolas
Acheroy,Marc
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| Data: |
2004-01-01
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| Ano: |
2004
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| Palavras-chave: |
Scatterometry
Ice discrimination
Neural network
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| Resumo: |
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
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| Tipo: |
Journal article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021
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| Editor: |
Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción
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| Formato: |
text/html
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| Fonte: |
Gayana (Concepción) v.68 n.2 suppl.TIIProc 2004
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