A neural network-based model for compensation of inversion errors in satellite-borne GNSS-R sea surface heights
- “In the study of sea surface height inversion error in spaceborne GNSS-R, an error compensation model based on neural network and attention mechanism training was proposed, which effectively corrected the inversion error and improved the correction accuracy.”
- Vol. 29, Issue 7, Pages: 2369-2381(2025)
Received:29 March 2024,
Published:07 July 2025
DOI: 10.11834/jrs.20244117
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