计算机工程与应用Issue(9)：213-216,4.DOI:10.3778/j.issn.1002-8331.1404-0491
基于LLE方法的地震数据随机噪声压制
Random noise reduction for seismic data based on Locally Linear Embedding
摘要
Abstract
Singular Value Decomposition(SVD)has a better development in noise reduction for seismic data. SVD can achieve a better result for the horizontal events that show linear models. However, it can not achieve a good result for the curve events that show nonlinear models. This limits in practice. This paper proposes a random noise reduction method for seismic data based on Locally Linear Embedding(LLE). The idea is that it only considers the reconstruction properties of LLE, not considers its properties of dimension reduction. The method uses the reconstruction of Locally Linear Embed-ding to reconstruct each sample of seismic data by its neighborhoods. Then, the results after reducing random noise are obtained. The conducted results on forward model and real seismic data show that the proposed method not only can effec-tively reduce random noise, but also can keep the effective signals that show nonlinear models. And it is better than the SVD filtering result.关键词
局部线性嵌入/地震数据/随机噪声/去噪/奇异值分解/重构Key words
Locally Linear Embedding(LLE)/seismic data/random noise/noise reduction/Singular Value Decomposi-tion(SVD)/reconstruction分类
信息技术与安全科学引用本文复制引用
蒲玲..基于LLE方法的地震数据随机噪声压制[J].计算机工程与应用,2015,(9):213-216,4.基金项目
国家自然科学基金（No.61202196）。 （）
