This study is to present the lesson learned during the activ- ities related to the Italian Space Agency (ASI) funded AP- PLICAVEMARS 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 direc- tion info from the SAR image itself using neural networks.
Multi-Frequency SAR Retrieval of Sea Surface Wind Field
Zecchetto, S.;Grieco, G.
2023
Abstract
This study is to present the lesson learned during the activ- ities related to the Italian Space Agency (ASI) funded AP- PLICAVEMARS 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 direc- tion info from the SAR image itself using neural networks.File in questo prodotto:
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