Advancing Accuracy in Sea Level Estimation with GNSS-R: A Fusion of LSTM-DNN-Based Deep Learning and SNR Residual Sequences

The global navigation satellite system reflectometry (GNSS-R) technique has shown promise in retrieving sea levels using signal-to-noise ratio (SNR) data. However, its accuracy and performance are often limited compared to conventional tide gauges, particularly due to constraints in satellite elevat...

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出版年:	Remote Sensing
主要な著者:	Yuan Hu, Aodong Tian, Qingyun Yan, Wei Liu, Jens Wickert, Xintai Yuan
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-05-01
主題:	LSTM-DNN SNR GNSS-R different elevation angles sea level height
オンライン･アクセス:	https://www.mdpi.com/2072-4292/16/11/1874