Reduction of rain effect on wave height estimation from marine X-band radar images using unsupervised generative adversarial networks

Author:

Wang Li1ORCID,Mei Hui2,Luo Weilun2,Cheng Yunfei1

Affiliation:

1. The Third Research Institute of the Ministry of Public Security, Shanghai, People’s Republic of China

2. The 802 Institute of Shanghai Academy of Space Flight Technology, Shanghai, People’s Republic of China

Funder

The National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference54 articles.

1. Abadi M. A. Agarwal P. Barham E. Brevdo Z. Zheng C. Citro G. S. Corrado et al. 2015. “Tensorflow: Large-Scale Machine Learning on Heterogeneous Systems.” https://tensorflow.google.cn/.

2. Short-term probabilistic prediction of significant wave height using bayesian model averaging: Case study of chabahar port, Iran

3. Spectral signal to clutter and thermal noise properties of ocean wave imaging synthetic aperture radars

4. Weather Effects on Radar Backscatter from Crops.” European Space Agency;Ang W.;Esa Sp,1997

5. The effect of artificial rain on wave spectra and multi-polarisation X band radar backscatter

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