›› 2013, Vol. 42 ›› Issue (4): 0-0.

• 学术论文 •    

顾及分段相似性的同震形变时间序列恒星日滤波优化算法

沈飞1,李建成2,张小红1,束蝉方3   

  1. 1. 武汉大学测绘学院
    2. 武汉大学 测绘学院
    3. 南京工业大学
  • 收稿日期:2012-06-28 修回日期:2012-11-14 出版日期:2013-08-20 发布日期:2014-01-23
  • 通讯作者: 沈飞 E-mail:fshen@vip.qq.com
  • 基金资助:
    国家自然科学基金资助项目;江苏省“333工程”科研项目资助计划;江苏省高校自然科学研究项目;江苏省测绘科研项目

The Improved Sidereal Filtering of Time Series Considering Segments’ Similarity in Coseismic Displacement

  • Received:2012-06-28 Revised:2012-11-14 Online:2013-08-20 Published:2014-01-23

摘要: 本文在常规恒星日滤波的基础上,提出了一种顾及分段相似性的恒星日滤波优化算法,即在构建滤波算子之前,首先确定用于构建滤波的坐标残差时间序列与地震当天坐标残差时间序列的分段相似性,然后根据相似性度量指标的大小确定权重后再进行滤波。研究结果表明:利用本文提出的顾及分段相似性的恒星日滤波优化方法能够显著改善单历元定位的精度和可靠性,克服常规滤波方法存在的缺陷,有利于恒星日滤波的无人工干预批处理。尤其是通用影像质量评价指数UIQI方法顾及了时间序列间的相关系数以及序列自身的均值和方差,比其它相似性度量更加科学合理,建议采用UIQI作为恒星日滤波优化算法的相似性度量。

关键词: 恒星日滤波, 同震形变, 相似性度量, GPS地震学, 地震

Abstract: Based on the traditional sidereal filtering method, this paper puts forward an improved sidereal filtering method accounting for segments’ similarity, namely before building filtering operator, firstly determine the segments’ similarity of the coordinates time series between earthquake day and before that day or after that day, and then based on the similarity measure index to identify weight of each day for filtering. In this paper, different similarity measure indicators are analyzed, after that the universal image quality index (UIQI) method is recommended as the similarity measure for the improved sidereal filtering. It’s more scientific and reasonable than other similarity measure which considers the correlation coefficient between two series, own mean value and variance as well. The results show that the improved sidereal filtering can effectively improve the single epoch positioning accuracy and reliability, completely overcome the defects of traditional filtering method, is beneficial to batch processing without manual intervention.

Key words: sidereal filtering, coseismic displacement, similarity measure, GPS Seismology, earthquake

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