Neural Network-Based Retrieval Optimization of GNSS-IR for Sea Level Monitoring Under Different Elevation Angles

The Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) technique has been widely employed to retrieve sea levels by utilizing signal-to-noise ratio (SNR) data, yet its accuracy is often hindered by limitations imposed by satellite elevation angles. In this study, we present a...

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Hlavní autoři:	Wei Liu, Zihui Lin, Yuan Hu, Aodong Tian, Xintai Yuan, Ziyu Hua, Ziwei Sun, Jens Wickert
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Elevation angles global navigation satellite system-reflectometry (GNSS-R) neural network sea level
On-line přístup:	https://ieeexplore.ieee.org/document/11216972/
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