%0 Journal Article
%T SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA
%A Neyt
%A Xavier
%A Pettiaux
%A Pauline
%A Manise
%A Nicolas
%A Acheroy
%A Marc
%J Gayana (Concepci¨®n)
%D 2004
%I Scientific Electronic Library Online
%R 10.4067/S0717-65382004000300021
%X 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
%K scatterometry
%K ice discrimination
%K neural network.
%U http://www.scielo.cl/scielo.php?script=sci_abstract&pid=S0717-65382004000300021&lng=en&nrm=iso&tlng=en