Correction of Sea Surface Wind Speed Based on SAR Rainfall Grade Classification Using Convolutional Neural Network

The technology of retrieving sea surface wind field from spaceborne synthetic aperture radar (SAR) is increasingly mature. However, the retrieval of the sea surface wind field related to the precipitation effect is still facing challenges, especially the strong precipitation related to extreme weath...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2023-01, Vol.16, p.1-9
Hauptverfasser:	Guo, Chaogang, Ai, Weihua, Zhang, Xi, Guan, Yanan, Liu, Yin, Hu, Shensen, Zhao, Xianbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Convolution Convolutional neural network correction Deep learning Extreme weather Hurricanes Image classification Image segmentation Inception v3 Machine learning Methods Neural networks Precipitation Quality Rain Rainfall Rainfall intensity Recognition Retrieval SAR (radar) Sea surface Surface wind Synthetic aperture radar Synthetic aperture radar (SAR) Transfer learning Tropical cyclones Wind wind field Wind speed
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!