Data/hora: 06/06/2024 14:18:37

Provedor de dados: 	72	
País: 	Chile	
Título: 	SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA	
Autores: 	Neyt,Xavier; Pettiaux,Pauline; Manise,Nicolas; Acheroy,Marc.	
Data: 	2004-01-01	
Ano: 	2004	
Palavras-chave: 	Scatterometry; Ice discrimination; Neural network.	
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	
Tipo: 	Journal article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021	
Editor: 	Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción	
Formato: 	text/html	
Fonte: 	Gayana (Concepción)  v.68 n.2 suppl.TIIProc 2004