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小尺度边缘特征地震检测技术研究

Small-scale edge characteristic seismic detection technique

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【作者】 孙夕平周超

【Author】 Sun Xi-ping1 and Zhou Chao1.1.Petrochina Research Institute of Petroleum Exploration and Development,Beijing City,100083,China

【机构】 中国石油勘探开发研究院

【摘要】 通过对比传统边缘检测算法、小波变换多尺度边缘检测算法和最优滤波二阶差分算法,本文认为:传统边缘检测算法没有考虑多尺度问题,但由于算法以样点为单位,所以在检测小级别边缘特征方面仍有优势,且可较容易获得边缘方向的描述;应用小波变换可以实现多尺度边缘检测;通过最优滤波二阶差分算法也可以实现多尺度边缘检测。以上各种方法可作为相干体技术的重要补充。

【Abstract】 By comparing traditional edge detection algorithm,the wavelet transform multi-scale edge detection algorithm and the optimal filtering second-order difference algorithm,it is believed in this paper that the traditional edge detection algorithm does not give the consideration for the multi-scale problem,however,because the algorithm takes the sample point as the unit,it still has the advantage in detecting small edge characteristics and can be used to easily obtain the description for edge direction.Furthermore,the multi-scale edge detection can also be implemented by applying either optimal filtering second-order difference algorithm or the wavelet transform.Each algorithm mentioned above can be regarded as the important supplement for the coherent volume technique.

  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2011年01期
  • 【分类号】P315.61
  • 【被引频次】5
  • 【下载频次】174
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