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

Xavier Neyt, Pauline Pettiaux, Nicolas Manise, Marc Acheroy

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Abstract

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
Original languageEnglish
Number of pages10
JournalGayana (Concepción)
Volume68
Issue number2
DOIs
Publication statusPublished - 2004

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