基于方向性滤波的地质体突出显示(英文)
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摘要
为了突出地质体的轮廓并保证横向分辨率,在进行滤波的同时必须保证地质体的边缘。为此,引入了各向异性扩散滤波技术。该技术的核心思想是沿着边缘的方向扩散滤波,而垂直边缘的方向则不扩散,这样就保证了滤波具有方向性。为了增强该技术的实用性,对各向异性扩散模型的参数进行了讨论,在充分考虑地震分辨率的情况下,给出扩散系数公式,推导分析了扩散门限参数的选取原则。依据本文提出的公式及原则,对XX区的潮道、YY区的砂体进行了突出显示,良好的应用效果证实了本文提出的参数选取原则是合理的。
To make a geologic body more outstanding, it is necessary to preserve edges when filtering. For this reason, a filtering method based on anisotropic diffusion is introduced. The key point of this method is that diffusion filtering will be made along the edge while diffusion is forbidden in the direction perpendicular to the edge, so the filtering has directionality. When doing anisotropic diffusion filtering, parameters like diffusion coefficient and threshold have great impacts on the results, so the anisotropic diffusion model parameters are discussed, the diffusion coefficient equation is introduced, and the diffusion threshold selection criterion is derived and analyzed. In addition, this method was used with the diffusion coefficient equation’s proper diffusion threshold to highlight the tidal channel geobodies in the XX area, sand body in the YY area, and faults in the ZZ area. The good delineation results prove that the diffusion threshold selection criterion introduced in this paper is reasonable.
To make a geologic body more outstanding, it is necessary to preserve edges when filtering. For this reason, a filtering method based on anisotropic diffusion is introduced. The key point of this method is that diffusion filtering will be made along the edge while diffusion is forbidden in the direction perpendicular to the edge, so the filtering has directionality. When doing anisotropic diffusion filtering, parameters like diffusion coefficient and threshold have great impacts on the results, so the anisotropic diffusion model parameters are discussed, the diffusion coefficient equation is introduced, and the diffusion threshold selection criterion is derived and analyzed. In addition, this method was used with the diffusion coefficient equation’s proper diffusion threshold to highlight the tidal channel geobodies in the XX area, sand body in the YY area, and faults in the ZZ area. The good delineation results prove that the diffusion threshold selection criterion introduced in this paper is reasonable.
引文
AlBinHassan,N.M.,Luo,Y.,and Al-Faraj,M.N.,2006,3D edge-preserving smoothing and applications:Geophysics,71(4),5–11.
Cattef,L.P.L.,and Morel,J.,1992,Image selectivesmoothing and edge detection by nonlinear diffusion:SIAM Journal on Numerical Analysis,29(1),182–193.
Fehmers,G.,and Hocker,C.,2003,Fast structuralinterpretation with structure-oriented filtering:Geophysics,68(4),1286–1293.
Hocker,C.,and Fehmers,G.,2002,Fast structuralinterpretation with structure-oriented filtering:The Leading Edge,21,238–243.
Kuwahara,M.,Hachimura,K.,Eiho,S.,and Kinoshita,M.,1976,Processing of RI-angiocardiographic images:in Preston,K.,and Onoe,M.,Eds.,Digital Processingof Biomedical Images,Plenum Press(New York),187–202.
Li,Z.W.,2007,Application of anisotropic diffusionequation in image processing:Masters Thesis.
Luo,Y.,Marhoon,M.,Al-Dossary,S.,and M.Alfaraj,2002,Edge-preserving smoothing and applications:TheLeading Edge,21(2),136-158.
Nasher M.AlBinHassan,Yi L.,and Mohammed N.Al-Faraj,2006,3D edge-preserving smoothing andapplications:Geophysics,71(4),P5–11.
Perona,P.,and Malik,J.,1990,Scale-space and edgedetection using anisotropic diffusion:IEEE Trans.onPattern Analysis and Machine Intelligence,12(7),629–639.
Wang,J.,Chen,Y.H.,Xu,D.H.,and Qiao,Y.L.,2009,Structure-oriented edge-preserving smoothing based onaccurate estimation of orientation and edges:AppliedGeophysics,6(4),367–376.
Wen,X.T.,He,Z.H.,Huang,D.J.,and Cheng,X.H.,2011,Highlighting display of geological anomaly bodybased on range.Oil Geophysical Prospecting,46(1),110–114.
Yang,P.J.,Mu,X.,and Zhang,J.T.,2010,Orientationaledge preserving fault enhance:Chinese J.Geophys(inChinese),53(12),2992–2997.
Cattef,L.P.L.,and Morel,J.,1992,Image selectivesmoothing and edge detection by nonlinear diffusion:SIAM Journal on Numerical Analysis,29(1),182–193.
Fehmers,G.,and Hocker,C.,2003,Fast structuralinterpretation with structure-oriented filtering:Geophysics,68(4),1286–1293.
Hocker,C.,and Fehmers,G.,2002,Fast structuralinterpretation with structure-oriented filtering:The Leading Edge,21,238–243.
Kuwahara,M.,Hachimura,K.,Eiho,S.,and Kinoshita,M.,1976,Processing of RI-angiocardiographic images:in Preston,K.,and Onoe,M.,Eds.,Digital Processingof Biomedical Images,Plenum Press(New York),187–202.
Li,Z.W.,2007,Application of anisotropic diffusionequation in image processing:Masters Thesis.
Luo,Y.,Marhoon,M.,Al-Dossary,S.,and M.Alfaraj,2002,Edge-preserving smoothing and applications:TheLeading Edge,21(2),136-158.
Nasher M.AlBinHassan,Yi L.,and Mohammed N.Al-Faraj,2006,3D edge-preserving smoothing andapplications:Geophysics,71(4),P5–11.
Perona,P.,and Malik,J.,1990,Scale-space and edgedetection using anisotropic diffusion:IEEE Trans.onPattern Analysis and Machine Intelligence,12(7),629–639.
Wang,J.,Chen,Y.H.,Xu,D.H.,and Qiao,Y.L.,2009,Structure-oriented edge-preserving smoothing based onaccurate estimation of orientation and edges:AppliedGeophysics,6(4),367–376.
Wen,X.T.,He,Z.H.,Huang,D.J.,and Cheng,X.H.,2011,Highlighting display of geological anomaly bodybased on range.Oil Geophysical Prospecting,46(1),110–114.
Yang,P.J.,Mu,X.,and Zhang,J.T.,2010,Orientationaledge preserving fault enhance:Chinese J.Geophys(inChinese),53(12),2992–2997.
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