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为满足对地震勘探数据压缩的特殊要求 ,论文研究了直接影响压缩质量的几个因素 :地震数据小波系数的分布情况、小波分解层数及边界处理。从实际处理结果可见 ,根据数据小波系数分布特点及结合零树量化编码对地震数据压缩可以满足限失真提高压缩比的工程要求。实验表明 ,压缩 1/ 10后其能量损失为 0 .2 %左右 ,由差剖面可以看出 ,损失的主要为噪声。小波分解层数与提高压缩比和压缩质量并不成比例关系 ,一般分解 3层即可满足工程要求 ,这样可大大提高压缩速度。对较大的地震剖面 ,通过一定的边界处理采用分块处理办法 ,可既不影响压缩效果、又提高压缩速度。改进后的算法更适于实际应用。
In order to meet the special requirements of seismic data compression, the paper studies several factors that directly affect the compression quality: the distribution of wavelet coefficients of seismic data, the number of wavelet decomposition layers and boundary processing. From the actual processing results, it can be seen that the seismic data compression can meet the engineering requirements of limiting distortion to improve the compression ratio according to the distribution characteristics of wavelet coefficients and the zerotree quantization coding. Experiments show that 1/10 after compression of its energy loss of about 0.2%, as can be seen from the differential profile, the main loss of noise. Wavelet decomposition layer and improve the compression ratio and compression quality is not proportional relationship, the general decomposition of three layers to meet the engineering requirements, which can greatly improve the compression speed. For larger seismic sections, the block processing method is adopted by certain boundary processing, which can not affect the compression effect and increase the compression speed. The improved algorithm is more suitable for practical application.