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机构地区:[1]成都理工大学信息工程学院,河南省南阳市河南油田地调处473132 [2]东方地球物理公司石油物探学会
出 处:《石油地球物理勘探》2006年第2期150-155,159,共7页Oil Geophysical Prospecting
摘 要:面对复杂地表条件下的静校正问题,主要困难就是初至波的拾取问题。现有的用于静校正处理的自动拾取初至波方法的精度和速度已难以适应这种复杂的地表条件。为此,本文提出了一种新的基于图像边缘检测技术的初至波自动拾取方法。此法利用边缘检测方法的特性,首先对地震资料进行灰度化处理,使其满足进行边缘检测的条件;然后利用Sobel、Prewitt、Laplacian及Kirsch等微分算子进行边缘检测。试验表明,Kirsch算子的检测效果最好。实际应用证明,此法不仅具有很强的抗干扰能力,而且拾取的初至的精度和速度均有明显提高。The major difficulty is the issue of detecting the first breaks for static corrections in complex surface conditions. The precision and speed of automatic detecting first breaks approach currently used for static corrections processing cannot adapt to such complex surface conditions. For that reason, the paper presented a new method of automatic first breaks pick-up based on the technique of image edge detection. Using the character of edge detection, the method first conducts the grey scale processing that makes it meet the condition of edge detection; then, using Sobel, Prewitt, LaplacianJI and Kirsch differential operators for edge detection, the experiments showed that the Kirsch operator is better for detection. The practical application showed that the method not only has strong ability of anti-interference, but also has significant improvement in both precision and speed of detected first breaks.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] P631.4[自动化与计算机技术—计算机科学与技术]
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