This study is to present the lesson learned during the activities related to the Italian Space Agency (ASI) funded APPLICAVEMARS project which aims at estimating sea surface wind field from L-, C- and X-band Synthetic Aperture Radar (SAR) imagery. The paper focuses on the X-band results and it describes a new approach to estimate ancillary wind direction info from the SAR image itself using neural networks.
Multi-frequency SAR retrieval of sea surface wind field / Nunziata, F.; Migliaccio, M.; Verlanti, A.; Buono, A.; Ferrentino, E.; Alparone, M.; Zecchetto, S.; Zanchetta, A.; Portabella, M.; Grieco, G.. - 2023:(2023), pp. 1581-1584. ( 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 Pasadena; USA ) [10.1109/IGARSS52108.2023.10282177].
Multi-frequency SAR retrieval of sea surface wind field
Nunziata F.
;Migliaccio M.;
2023
Abstract
This study is to present the lesson learned during the activities related to the Italian Space Agency (ASI) funded APPLICAVEMARS project which aims at estimating sea surface wind field from L-, C- and X-band Synthetic Aperture Radar (SAR) imagery. The paper focuses on the X-band results and it describes a new approach to estimate ancillary wind direction info from the SAR image itself using neural networks.| File | Dimensione | Formato | |
|---|---|---|---|
|
Nunziata_Multi-frequency_2023.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
527.94 kB
Formato
Adobe PDF
|
527.94 kB | Adobe PDF | Contatta l'autore |
|
Nunziata_Indice_Multi-frequency_2023.pdf
solo gestori archivio
Note: Indice e frontespizio
Tipologia:
Altro materiale allegato
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
1.49 MB
Formato
Adobe PDF
|
1.49 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
