基于地表一致性的非局部均值滤波去噪技术
Non-local mean filtering denoising technique based on surface consistency
黄德智 1席李楠 1马浩宇 1单吉婷 1周琪惠2
作者信息
- 1. 黑龙江科技大学 矿业工程学院,哈尔滨 150022;黑龙江省昂昂溪实务地质资料野外科学观测研究站,黑龙江 齐齐哈尔 161031
- 2. 黑龙江科技大学 矿业工程学院,哈尔滨 150022
- 折叠
摘要
针对地表非一致性导致的地震波场中各道振幅产生严重差异,降低各道间信号的相似性,从而降低非局部均值滤波对随机噪声的压制能力的问题,应用非局部均值滤波对地震数据去噪前进行地表一致性均衡,将各道振幅调整至同一水平,以改善非局部均值滤波的相似性估计.结果表明,文中方法可有效改善波场中非局部均值滤波的相似性估计,提高非局部均值滤波对波场中随机噪声和异常振幅噪声的压制能力.
Abstract
This paper aims to address the serious ampliarity differences in different traces of seismic wave field caused by the surface inconsistency.The study is performed by reducing the similarity of sig-nals between traces to reduce the suppression ability of NLM to the random noise,equalizing the surface consistency before denosing by using NLM on seismic data,and adjusting the amplitudes of each trace to the same level for improving the similarity estimation of NLM.The result shows that this method can ef-fectively improve the similarity estimation of non local mean filtering in wave field,and enhance the sup-pression ability of non local mean filtering on random noise and abnormal amplitude noise in wave field.
关键词
地表一致性/非局部均值滤波/随机噪声/异常振幅噪声/相似性估计Key words
surface consistency/non-loca-mean filtering/random noise/abnormal amplitude noise/similarity estimation引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据