| 基于主波峰的自适应波形重跟踪算法研究 |
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| 引用本文： | 莫德丽,赵银军,陈国清,梁珊,童凯,梁玉莲.基于主波峰的自适应波形重跟踪算法研究[J].大地测量与地球动力学,2021,41(10):1051-1056. |
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| 作者姓名： | 莫德丽 赵银军 陈国清 梁珊 童凯 梁玉莲 |
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| 作者单位： | 南宁师范大学地理科学与规划学院,南宁市明秀东路175号,530001;南宁师范大学地理科学与规划学院,南宁市明秀东路175号,530001;南宁师范大学北部湾环境演变与资源利用教育部重点实验室,南宁市明秀东路175号,530001;南宁师范大学广西地表过程与智能模拟重点实验室,南宁市明秀东路175号,530001;南宁师范大学北部湾环境演变与资源利用教育部重点实验室,南宁市明秀东路175号,530001;南宁师范大学广西地表过程与智能模拟重点实验室,南宁市明秀东路175号,530001 |
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| 摘 要： | 构建基于主波峰的自适应波形重跟踪算法（AMWRT）。首先提取主波峰，然后对主波峰分别应用经典的重心偏移法（OCOG）及阈值法（threshold）进行波形重跟踪，并进行精度比较，得到最优的观测水位。将AMWRT、OCOG和threshold法应用于长江中游地区，结果表明：1）测高卫星观测的长时间水位序列与水文站实测数据趋势较为一致；2）AMWRT算法相较于OCOG法及threshold法表现良好，比其中表现最好的经典threshold_0.5法的精度提高了30%，其绝对平均误差（MAE）和均方根误差（RMSE）分别降低至0.55 m和0.72 m。
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| 关 键 词： | 卫星测高 波形重跟踪 长江 精度评价 |
Research on Adaptive Waveform Re-Tracking Algorithm Based on Main Peak |
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| MO Deli,ZHAO Yinjun,CHEN Guoqing,LIANG Shan,TONG Kai,LIANG Yulian.Research on Adaptive Waveform Re-Tracking Algorithm Based on Main Peak[J].Journal of Geodesy and Geodynamics,2021,41(10):1051-1056. |
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| Authors: | MO Deli ZHAO Yinjun CHEN Guoqing LIANG Shan TONG Kai LIANG Yulian |
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| Abstract: | This paper provides an adaptive waveform re-tracking algorithm based on the primary peak (AMWRT). First, the primary peak is extracted, and second, the primary peaks are retracked by offset center of gravity (OCOG) method and threshold method. Finally, the retracked results are compared to obtain the best observed water level. The AMWRT, OCOG and threshold methods are applied to the middle reaches of the Yangtze river for comparison. The results show that: 1) The long-term water level sequence observed by altimetry satellites is more consistent with the trends measured by the hydrological station; 2) When the AMWRT algorithm is compared with OCOG and threshold, the AMWRT method performs well, and the accuracy is improved by 30% compared to the best-performing classic threshold_0.5 method. The absolute mean error (MAE) and root mean square error (RMSE) are reduced to 0.55 m and 0.72 m, respectively. |
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| Keywords: | satellite altimetry waveform re-tracking Yangtze river accuracy evaluation |
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