测绘学报

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渤海湾多源重力数据的自适应融合处理

翟振和,孙中苗   

  1. 西安测绘研究所
  • 收稿日期:2009-07-01 修回日期:2010-03-09 出版日期:2010-10-25 发布日期:2010-10-25
  • 通讯作者: 翟振和

The Adaptive Fusion of Multi-source Gravity Data in Bohai Gulf

1, 2   

  1. 1.
    2. Xi'an research institute of surveying and mapping
  • Received:2009-07-01 Revised:2010-03-09 Online:2010-10-25 Published:2010-10-25

摘要: 在最小二乘逐步配置基础上,提出了以调整观测信号自协方差及互协方差函数为主要形式的多源重力数据自适应融合处理方法,构建了基于配置结果的自适应融合以及基于观测信号的自适应融合两种融合模式。分别利用两种融合模式对渤海湾陆海交界区域的航空重力数据、卫星测高反演重力数据以及陆地重力数据进行了融合处理,其中基于观测信号的自适应融合模式取得了较优的融合效果,通过船测重力数据的外部检核表明,融合数据的总体精度优于3.7毫伽 。

Abstract: The least square stepwise collocation formula is derived according to the induction method, so the self covariance and mutual covariance of the observation signals can be described in detail.Based on the stepwise collocation, the adaptive fusion method is established whose main content is adjusting the self covariance and mutually covariance of the observation signals. The airborne gravity data, satellite altimetry gravity dada and land gravity data are fused by using the two fusion mode, which are the fusion based on observation signals and fusion based on the results of stepwise collocation. The computation results show that the accuracy and reliability of the fusion based on observation signals is better than the other mode. According to the shipborne gravity data verifying, the final fusion accuracy is better than 3.7mgal .