Samenvatting
A new scheme to perform stateless ice/sea discrimination in ERS scatterometer data is proposed. This method consists in combining several methods proposed in the literature using a Bayesian framework. Each of the combined method is first reviewed in a consistent framework. In particular, the ice/sea probability according to each individual criterion is extracted using a neural network. The proposed method is shown to provide acceptable results even without taking into account historic data, i.e. without performing temporal averaging.
Originele taal-2 | Engels |
---|---|
Artikelnummer | 566 |
Pagina's (van-tot) | 877-884 |
Aantal pagina's | 8 |
Tijdschrift | European Space Agency, (Special Publication) ESA SP |
Nummer van het tijdschrift | 572 |
Status | Gepubliceerd - 2005 |
Evenement | 2004 Envisat and ERS Symposium - Salzburg, Oostenrijk Duur: 6 sep. 2004 → 10 sep. 2004 |