%0 Journal Article
%T A high-resolution processing technique for 3-D seismic data based on signal sub-space decomposition<br>基于信号子空间分解的三维地震资料高分辨率处理方法
%A LU Wen-kai
%A DING Wen-Long
%A ZHANG Shah-Wen
%A XIAO Huan-Qin
%A ZHAO Ming-Hai
%A <br>陆文凯
%A 丁文龙
%A 张善文
%A 肖焕钦
%A 赵铭海
%J 地球物理学报
%D 2005
%I 
%X This paper proposes a new signal sub-space decomposition(SSD) based technique to improve the resolution of 3-D seismic data processing. By exploiting the SSD technique, we can decompose not only the signal and noise in 3-D seismic data, but also the composite event into single events according to their different dips. After removal of the noise space, we integrate all the reconstructions corresponding to the signal sub-spaces with improved resolution using the spectral whitening technique. Since we only improve the resolution of the signal and remove the noise at the same time, we can improve the resolution and the signal_to_noise ratio (SNR) of the seismic data simultaneously. The application results of the synthetic and real data show our method has a good perspective of applications.
%K Signal sub_space decomposition
%K Singular value decomposition
%K Spectral whitening
%K Resolution
%K Signal_to_noise ratio<br>信号子空间分解
%K 奇异值分解
%K 谱白化
%K 分辨率
%K 信噪比
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=14DC41C59CBF6770055A7D610D53AE46&aid=B8EBE2E0EC2D0FA3&yid=2DD7160C83D0ACED&vid=B6DA1AC076E37400&iid=E158A972A605785F&sid=B65E5C7BA0DC04DC&eid=E23857687CD2EE51&journal_id=0001-5733&journal_name=地球物理学报&referenced_num=19&reference_num=8