黑龙江科技大学学报2024，Vol.34Issue(6)：858-863,6.DOI:10.3969/j.issn.2095-7262.2024.06.006
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
摘要
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分类
天文与地球科学引用本文复制引用
黄德智,席李楠,马浩宇,单吉婷,周琪惠..基于地表一致性的非局部均值滤波去噪技术[J].黑龙江科技大学学报,2024,34(6):858-863,6.基金项目
国家自然科学基金项目(41974138 （）
42074151) （）
