地震剖面同相轴自动追踪技术研究
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摘要
在地震勘探过程中,同相轴的识别和追踪是一个很重要的环节。为了提高信噪比和分辨率,便于进行地震资料解释工作,利用图像边缘检测技术来识别、追踪地震反射波同相轴。分别利用Roberts、So-bel、Prewitt、Log以及Canny算子来检测地震剖面同相轴边缘,再经过提取包络线中轴、斑点去噪等处理得到了最终的同相轴追踪结果,并发现利用LOG算子和Canny算子追踪的同相轴比较完整、丢失现象比较少且连续性好。
In the course of seismic exploration,auto identifying and tracking the syncphase axis is a very important part.In order to improve the signal-to-noise ratio and resolution and work for seismic data interpretation,use edge detection technology to identify and track the axis.We use Roberts,Sobel,Prewitt,Log and Canny operator to detect the edge of the axis,and then after that we use the median axis of the surround line of the higher gray as the seismic syncphase axis and then eliminating fleck yawp,we get the final result.After the work above finished we found the merits of the LOG and Canny operators'result are more integrated and consecutive.
In the course of seismic exploration,auto identifying and tracking the syncphase axis is a very important part.In order to improve the signal-to-noise ratio and resolution and work for seismic data interpretation,use edge detection technology to identify and track the axis.We use Roberts,Sobel,Prewitt,Log and Canny operator to detect the edge of the axis,and then after that we use the median axis of the surround line of the higher gray as the seismic syncphase axis and then eliminating fleck yawp,we get the final result.After the work above finished we found the merits of the LOG and Canny operators'result are more integrated and consecutive.
引文
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[6]Roberts L G.Machine perception of three-dimension sol-ids[C]∥Optical and electro-optimal information process-ing.Cambridge,MA:MITPress,1965.
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[8]董梁,王忠民.图像边缘检测算法研究[J].现代电子技术,2007(15):179-180.
[9]Prewitt J.Enhancement and extraction picture process[M].New York:Picture Processing and PsychopictoricPress,1970:75-149.
[10]HaralickRM,ShapiroLG.Image Segmentation Techniques[J].Comput Vision Graphics Image Processing,1985,129:100-132.
[11]沈洁,杜宇人,高浩军.图像边缘检测技术研究[J].信息技术,2005(12):32-34.
[12]Canny John.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Ma-chine Intelligence,PAMI-8(6):679-698,November,1986.
[13]段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005,31(3):415-419.
[14]李牧,闫继红,李戈,等.自适应Canny算子边缘检测技术[J].哈尔滨工程大学学报,2007,28(9):1002-1007.
[15]李红星,刘财,陶春辉.图像边缘检测方法在地震剖面同相轴自动检测中的应用研究[J].地球物理学进展,2007,22(5):1607-1610.
[2]F Bergholm.Edge focusing[J].IEEE transactions on pat-tern analysis and machine intelligence,1987,9(6):726-741.
[3]张小琳.图像边缘检测技术综述[J].高能量密度物理,2007,3(1):37-40.
[4]周道炳,朱卫纲.几种边缘检测算子的评估[J].指挥技术学院学报,2000,11(1):59-63.
[5]马艳,张志辉.几种边缘检测算子的比较[J].工矿自动化,2004,2(1):54-56.
[6]Roberts L G.Machine perception of three-dimension sol-ids[C]∥Optical and electro-optimal information process-ing.Cambridge,MA:MITPress,1965.
[7]SOBEL.Camera models and machine perception[D].Ph.D.Dissertation,Stanford Univ.,1970:159-197.
[8]董梁,王忠民.图像边缘检测算法研究[J].现代电子技术,2007(15):179-180.
[9]Prewitt J.Enhancement and extraction picture process[M].New York:Picture Processing and PsychopictoricPress,1970:75-149.
[10]HaralickRM,ShapiroLG.Image Segmentation Techniques[J].Comput Vision Graphics Image Processing,1985,129:100-132.
[11]沈洁,杜宇人,高浩军.图像边缘检测技术研究[J].信息技术,2005(12):32-34.
[12]Canny John.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Ma-chine Intelligence,PAMI-8(6):679-698,November,1986.
[13]段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005,31(3):415-419.
[14]李牧,闫继红,李戈,等.自适应Canny算子边缘检测技术[J].哈尔滨工程大学学报,2007,28(9):1002-1007.
[15]李红星,刘财,陶春辉.图像边缘检测方法在地震剖面同相轴自动检测中的应用研究[J].地球物理学进展,2007,22(5):1607-1610.
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