Preferential filtering for gravity anomaly separation

نویسندگان

  • Lianghui Guo
  • Xiaohong Meng
  • Zhaoxi Chen
  • Shuling Li
  • Yuanman Zheng
چکیده

We present the preferential filtering method for gravity anomaly separation based on Green equivalent-layer concept and Wiener filter. Compared to the conventional upward continuation and the preferential continuation, the preferential filtering method has the advantage of no requirement of continuation height. The method was tested both on the synthetic gravity data of a model of multiple rectangular prisms and on the real gravity data from a magnetite area in Jilin Province, China. The results show that the preferential filtering method produced better separation of gravity anomaly than both the conventional low-pass filtering and the upward continuation. & 2012 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Computers & Geosciences

دوره 51  شماره 

صفحات  -

تاریخ انتشار 2013