Edge enhancement of potential-field data using normalized statistics
Edge enhancement of potential-field data using normalized statistics
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DOI：
10.1190/1.2837309
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发表时间：
2008-03
期刊：
影响因子：
3.3
通讯作者：
G. Cooper;D. Cowan
中科院分区：
文献类型：
--
作者：
G. Cooper;D. Cowan
势场数据的边缘增强有助于地质解释。增强边缘的方法有很多，其中大多数是基于场的水平或垂直导数的高通滤波器。归一化标准差（NSTD）是一种新的边缘检测滤波器，它是基于场导数的加窗标准差的比值。利用澳大利亚的航磁数据和南非的重力数据演示了NSTD。与其他过滤器相比，NSTD过滤器产生更详细的结果。
Edge enhancement in potential-field data helps geologic interpretation. There are many methods for enhancing edges, most of which are high-pass filters based on the horizontal or vertical derivatives of the field. Normalized standard deviation (NSTD), a new edge-detection filter, is based on ratios of the windowed standard deviation of derivatives of the field. NSTD is demonstrated using aeromagnetic data from Australia and gravity data from South Africa. Compared with other filters, the NSTD filter produces more detailed results.