基于Beamlet变换的断层识别与线性提取
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摘要
Beamlet变换在提取图像线性特征方面效果明显。对于三维地震解释,可将地震相干切片视为图像,切片上断层可视为线性信息,利用Beamlet变换可对切片上的断层进行识别和线性提取。笔者首先介绍了Beamlet变换基本原理,以及其在含噪图像线性特征提取中的优势,然后利用Beamlet变换对四川元坝地区的三维地震相干切片进行断层识别和线性特征提取,并对断层线性信息进行统计分析。结果表明,该方法对于小断层和裂隙发育带的解释具有明显优势。
Beamlet transform has obvious effect in extraction of linear and curvilinear features.The seismic coherence slice can be regarded as an image in three-dimensional seismic interpretation.Beamlet transform can identify and extract linear and curvilinear features in the slice.This paper describes the basic principles of the beamlet transform as well as its advantage in linear feature extraction of the noise-containing image.The authors used the beamlet transform to guide the fault interpretation of seismic slice data obtained in Yuanba area of Sichuan.The results show that the method has obvious advantages in interpretation of small faults and fissures.
Beamlet transform has obvious effect in extraction of linear and curvilinear features.The seismic coherence slice can be regarded as an image in three-dimensional seismic interpretation.Beamlet transform can identify and extract linear and curvilinear features in the slice.This paper describes the basic principles of the beamlet transform as well as its advantage in linear feature extraction of the noise-containing image.The authors used the beamlet transform to guide the fault interpretation of seismic slice data obtained in Yuanba area of Sichuan.The results show that the method has obvious advantages in interpretation of small faults and fissures.
引文
[1]Donoho D L,Huo Xiaoming.Beamlets and multiscale image analy-sis[C]//Multiscale and Multiresolution Methods.Berlin:SpringerPress,2001:149-196.
[2]Anthony F.Large-Scale structures in the universe[M].West Sus-sex:Chichester University,1998.
[3]Halina A,David H,Ury N,et al.An Orientation Selective NeuralNetwork and its Application to Cosmic Muon Identification[J].Nucl.Instr.Meth.Phys.Res.,1996,378:305-311.
[4]David L D.Wedgelets:nearly minimax estimation of edges[J].An-nals of Statistics,1999,27(3):859～897.
[5]Huo Xiaoming.Sparse Image Representation via Combine Trans-forms[D].Stanford:Stanford University,1999.
[6]梅小明,张良培,李平湘.利用Beamlet变换算法提取遥感图像线性特征[J].计算机应用研究,2008,25(5):1576-1578.
[7]杨明,尹勇,彭玉华,等.Beamlet变换与多尺度线特征提取算法[J].电子学报,2007,35(1):100-103.
[2]Anthony F.Large-Scale structures in the universe[M].West Sus-sex:Chichester University,1998.
[3]Halina A,David H,Ury N,et al.An Orientation Selective NeuralNetwork and its Application to Cosmic Muon Identification[J].Nucl.Instr.Meth.Phys.Res.,1996,378:305-311.
[4]David L D.Wedgelets:nearly minimax estimation of edges[J].An-nals of Statistics,1999,27(3):859～897.
[5]Huo Xiaoming.Sparse Image Representation via Combine Trans-forms[D].Stanford:Stanford University,1999.
[6]梅小明,张良培,李平湘.利用Beamlet变换算法提取遥感图像线性特征[J].计算机应用研究,2008,25(5):1576-1578.
[7]杨明,尹勇,彭玉华,等.Beamlet变换与多尺度线特征提取算法[J].电子学报,2007,35(1):100-103.
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