| dc.creator | Neyt,Xavier | |
| dc.creator | Pettiaux,Pauline | |
| dc.creator | Manise,Nicolas | |
| dc.creator | Acheroy,Marc | |
| dc.date | 2004-01-01 | |
| dc.date.accessioned | 2020-02-17T15:35:07Z | |
| dc.date.available | 2020-02-17T15:35:07Z | |
| dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000300021 | |
| dc.identifier.uri | https://revistaschilenas.uchile.cl/handle/2250/131715 | |
| dc.description | 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 | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción | |
| dc.relation | 10.4067/S0717-65382004000300021 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Gayana (Concepción) v.68 n.2 suppl.TIIProc 2004 | |
| dc.subject | Scatterometry | |
| dc.subject | ice discrimination | |
| dc.subject | neural network | |
| dc.title | SINGLE-PASS SEA/ICE DISCRIMINATION USING ERS-2 SCATTEROMETER DATA | |
