用小波变换和K-L上滤波方法联合提高地震资料分辨率

SEISMIC DATA RESOLUTION IMPROVEMENT BY USING WAVELET TRANSFORM AND K-L FILTERING

根据小波变换在时域或频域均具有良好的局部化性质，对小波分解后的频带记录进行了高频补偿，经小波重构后可以发现，地震记录的分辨率得到了有效的提高。之后又对记录进行了K－L滤波，从而大大地提高了地震记录的信噪比。实践证明，这种处理方法是行之有效的。

According to that the wavelet transform has good partial character in time and frequency domain, we make high frequency compensation to the frequency band data after wavelet decomposition in this paper. After wavelet reconstruction, the seismic data resolution is improved effectively. Afterwards, we make K-L filtering to the data, then the signal-noise ratio of seismic data is improved greatly. This method is proved feasible pratically.