在地震勘探数据分析中也有重要的应用,如地震频谱分解,瞬时属性提取等。
It has also important application in seismic data analysis, for example, seismic spectral decomposition, instantaneous attributes extraction, etc.
结果表明:不同的薄互层模型,尽管在时间域的合成记录几乎相同,但它们的某些瞬时属性却有明显的差别;
The results show that the synthetic seismic data were almost same to each other in the time domain.
本文基于小波变换具有多尺度多分辨率分析的优点,提出了在特定的小波变换分频瞬时属性上,利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
本文基于小波变换具有多尺度多分辨率分析的优点,提出了在特定的小波变换分频瞬时属性上,利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
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