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

Xavier Neyt, Pauline Pettiaux, Nicolas Manise, Marc Acheroy

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

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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
OriginalspracheEnglisch
Seitenumfang10
FachzeitschriftGayana (Concepción)
Jahrgang68
Ausgabenummer2
DOIs
PublikationsstatusVeröffentlicht - 2004

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