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基于Curvelet变换的地震数据去噪研究

Seismic Data Noise Attenuation Based on Curvelet Transform
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摘要 Curvelet变换是一种新的多尺度几何分析方法,在图像处理领域有其自身的优点。通过改进的curvelet变换图像降噪方法,对地震数据进行处理,实验结果表明,用该方法有效的去除了地震数据中的随机干扰,提高了地震数据的信噪比,Curvelet变换作为一种崭新的理论思路在地震数据处理中将会得到越来越广泛的应用。 The curvelet transform is a new multi - criterion geometric analysis method, it has own advantages in the image pro- cessing . In this paper, seismic data were processed by an improved image denoising method of curvelet transform. The results show that the method can remove the random noise effectively. Curvelet transform will be used widely as a new theoretical ideas in seismic data processing.
出处 《辽宁化工》 CAS 2010年第3期329-331,共3页 Liaoning Chemical Industry
关键词 RIDGELET变换 曲波变换 随机干扰 地震数据去噪 Ridgelet Transform Curvelet Transform Random noise Seismic data attenuation
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