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位场数据归一化总水平导数垂向导数边缘识别方法(英文)
引用本文:王万银,潘玉,邱之云. 位场数据归一化总水平导数垂向导数边缘识别方法(英文)[J]. 应用地球物理, 2009, 6(3): 226-233. DOI: 10.1007/s11770-009-0026-x
作者姓名:王万银  潘玉  邱之云
作者单位:王万银,邱之云(长安大学地质工程与测绘学院,长安大学西部矿产资源与地质工程教育部重点实验室,西安,710054);潘玉(长庆油田勘探开发研究院,西安,710018) 
基金项目:supported by the National Science and Technology Major Projects (2008ZX05025); the Project of National Oil and Gas Resources Strategic Constituency Survey and Evaluation of the Ministry of Land and Resources,China (XQ-2007-05)
摘    要:位场数据边缘识别技术常常用来识别地质体的边缘位置.本文提出了一种新的位场数据边缘识别方法--归一化总水平导数垂向导数,它具有边缘探测和边缘增强两种功能.该方法首先计算位场数据的总水平导数THDR和总水平导数THDR的n阶垂向导数VDRn,并对n阶垂向导数VDRn采用取大于0的阈值技术得到总水平导数峰值PTHDR,该值可以用来进行边缘探测;其次,计算总水平导数峰值PTHDR与总水平导数THDR的比,并用最大值进行归一化得到归一化总水平导数垂向导数,该值可以用来进行边缘增强;最后,通过理论模型和实际资料检验了方法的有效性和可靠性.

关 键 词:位场数据  边缘识别  总水平导数  垂向导数  归一化

A new edge recognition technology based on the normalized vertical derivative of the total horizontal derivative for potential field data
Wanyin Wang,Yu Pan,Zhiyun Qiu. A new edge recognition technology based on the normalized vertical derivative of the total horizontal derivative for potential field data[J]. Applied Geophysics, 2009, 6(3): 226-233. DOI: 10.1007/s11770-009-0026-x
Authors:Wanyin Wang  Yu Pan  Zhiyun Qiu
Affiliation:Wang Wanyin1,Pan Yu2,, Qiu Zhiyun11.College of Geology Engineering , Geomatics,Key Laboratory of Western China's Mineral Resources , Geological Engineering,Ministry of Education,Chang'an University,Xi'an 710054,China.2.Petroleum Exploration , Development Research Institute,PetroChina Changqing Oilfield Company,Xi'an 710021,China.
Abstract:Edge detection and enhancement techniques are commonly used in recognizing the edge of geologic bodies using potential field data.We present a new edge recognition technology based on the normalized vertical derivative of the total horizontal derivative which has the functions of both edge detection and enhancement techniques.First,we calculate the total horizontal derivative(THDR) of the potential-field data and then compute the n-order vertical derivative(VDRn) of the THDR.For the n-order vertical derivat...
Keywords:potential field data  edge recognition  edge enhancement  total horizontal derivative  normalized vertical derivative
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