Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks
Synthetic aperture radar (SAR) is known to be able to provide high-resolution estimates of surface wind speed. These estimates usually rely on a geophysical model function (GMF) that has difficulties accounting for nonwind processes, such as rain events. Convolutional neural network, on the other ha...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10168970/ |