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    • 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     

    移动端阅览

  • Ma D H,Yu X W,Wang H and Guo S S. 2025. A neural network-based model for compensation of inversion errors in satellite-borne GNSS-R sea surface heights. National Remote Sensing Bulletin, 29(7):2369-2381 DOI: 10.11834/jrs.20244117.
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相关作者

MA Dehao 东南大学 交通学院
YU Xianwen 东南大学 交通学院
WANG Hao 东南大学 交通学院
GUO Shusen 东南大学 交通学院
WAN Wei 清华大学水沙科学与水利水电工程国家重点实验室;清华大学水利水电工程系
CHEN Xiuwan 北京大学地球与空间科学学院
PENG Xuefeng 北京大学地球与空间科学学院
BAI Weihua 中国科学院国家空间科学中心

相关机构

State Key Laboratory of Hydroscience and Engineering,Tsinghua University
Department of Hydraulic Engineering, Tsinghua University
School of Earth and Space Sciences, Peking University
National Space Science Center, Chinese Academy of Sciences
Meteorological Observation Center, China Meteorological Administration
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