摘要
地震数据压缩是解决海量地震数据传输及存储的一项关键技术。本文针对地震数据中信号和噪声的特点,选用基于小波变换的地震信号压缩方法,此法主要包括:①对地震信号进行二维小波变换;②利用系数之间的相关性对变换后的系数采用零树编码方法重新组织;③对系数进行阈值运算及量化处理;④采用自适应算术编码对量化后的系数进行无损熵编码。此法可对地震信号实现高保真大比率压缩。对典型地震信号压缩结果表明,当压缩比达到50:1以上时,经解压恢复后的信息没有明显损失。
Compression of seismic data is a key technique for solving a great amount of transportation and storage of seismic data. Aimed at the feature of signals and noises in seismic data,the paper selected the compressed method of seismic data based on wavelet transform. The method includes: ①2-D wavelet transform of seismic signals; ② using correlation between the coefficients to reorganize the transformed coefficients by zero-tree coding method ; ③ threshold-operational and quantitative processing of coefficients; ④ using adaptive arithmetic code for entropy coding of quantitative coefficients without loss. The method can implement hi-fi compression with high rate of seismic signals. The compressed results of typical seismic signals showed that there would be no distinct loss of information after decompression when the compressed ratios are above 50:1.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2005年第3期349-352,共4页
Oil Geophysical Prospecting
基金
国家自然科学基金(904160704)项目资助
