Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (2): 272-285.doi: 10.11947/j.AGCS.2025.20240103

• Marine Survey • Previous Articles    

Waveform contamination identification and accurate sea surface height extraction algorithm for high-frequency fully-focused SAR in severely interfered coastal regions

Hongkai SHI1(), Xiufeng HE1(), Yihao WU1, Xiangtian ZHENG2, Minfeng SONG1   

  1. 1.School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
    2.School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China
  • Received:2024-03-15 Published:2025-03-11
  • Contact: Xiufeng HE E-mail:shk@hhu.edu.cn;xfhe@hhu.edu.cn
  • About author:SHI Hongkai (1993—), male, PhD, majors in satellite altimetry and ocean dynamic modeling. E-mail: shk@hhu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(42374099);The Fundamental Research Funds for the Central Universities(B240201097);Jiangsu Funding Program for Excellent Postdoctoral Talent(2024ZB632);The Natural Science Foundation of Jiangsu Province Higher Education Basic Science(24KJB170010);Natural Science Foundation of Jiangsu Province(BK20241069)

Abstract:

In coastal regions, particularly within 3 km from the coast, the accurate estimation of sea surface height (SSH) has remained a significant challenge for satellite altimetry techniques. This study investigates the fully-focused SAR (FFSAR) altimetry technique and proposes a SSH estimation algorithm based on contamination rejection and range compensation. Tide gauge data are introduced as independent observations to validate the altimetry performance of FFSAR in severe interfered coastal areas under different along-track sampling rates (20, 80, 200, and 600 Hz). The experiment results show that: ① In the highly contaminated region within 3 km from the coast, increasing the FFSAR sampling rate from 20 Hz to 200 Hz significantly improves data availability and accuracy. ② The standard deviations of the altimetry results obtained using the proposed algorithm against the validation data are reduced from 0.36 (TGWD)、0.31 (EEMSHAVEN)、0.68 (DENHELDER) and 0.17 m (IJMON) to 0.22、0.22、0.48 and 0.14 m, respectively, corresponding to an improvement of over 20%. ③ At the 200 Hz sampling rate, the altimetry results from the proposed algorithm show better consistency with the validation data compared to the MWaPP and PP-OCOG algorithms.

Key words: SAR altimetry, FFSAR, coastal area, signal contamination, SSH extraction

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