Research on a Deep-Learning Model for Multisource Spaceborne GNSS-R Fusion in Sea Surface Height Retrieval

The development of GNSS-R ocean altimetry technology has significantly advanced global sea surface height (SSH) monitoring. However, single-satellite systems face inherent limitations: their spatial coverage is constrained by orbital patterns and revisit cycles, making them insufficient for high-pre...

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Autors principals:	Yun Zhang, Tianyue Wen, Shuhu Yang, Qingjing Shi, Qifeng Qian, Chunyi Xiang, Jiaying Li, Binbin Li, Bo Peng, Yanling Han, Zhonghua Hong
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Deep learning error correction GNSS-R multisource fusion sea surface height (SSH) retrieval
Accés en línia:	https://ieeexplore.ieee.org/document/11299433/
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