基于SPOT卫星遥感影像在小波域反演求解震源破裂过程

项目名称： 基于SPOT卫星遥感影像在小波域反演求解震源破裂过程

项目编号： No.41204049

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地球物理学和空间物理学

项目作者： 郝金来

作者单位： 中国科学院地质与地球物理研究所

项目金额： 25万元

中文摘要： 震源破裂过程是地震学研究的基础问题之一，及时获取震源过程能为判断受灾范围提供参考，为抗震救灾服务。为获得准确精细的破裂过程，往往需要多种数据资料联合反演。近些年来，空间对地观测的新技术-SPOT卫星遥感影像开始广泛应用于地震学研究中，弥补了GPS等观测通常不能给出近断层形变细节信息的缺点。然而利用SPOT资料反演震源过程的研究还很少，且没有充分利用遥感测量面积大的优势。因此本项目拟开展以下研究：1、根据SPOT遥感影像，利用COSI-CORR软件分别得到南北和东西两个方向的标量位移场；2、使用小波域反演方法反演位移场，将标量位移场进行二维小波变换，以低频分量的小波系数作为待拟合的数据，既能利用位移场整体特征又能降低噪声影响；3、联合远场波形反演大地震的震源破裂过程(例如2011年青海玉树地震等)。本研究充分利用了空间对地观测的新技术-SPOT遥感影像，扩展了震源破裂过程研究的方法。

中文关键词： SPOT卫星；遥感影像；小波域反演；震源破裂过程；

英文摘要： Rupture process of earthquake is a basic problem of seismology research. Getting the rupture process as soon as possible can give useful reference for evaluating the effect of earthquake and earthquake relief. In order to get an accurate result, sometimes we use joint inversion of different data. Recently, the new technology of earth observarion,SPOT remote sensing image, is widely used in seismology research. It makes up the disadvantage that GPS data usually can't give detail information near the fault. However, there has been little research on studying source process based on SPOT remote sensing image, and it failed to make full use of the advantage that remote sensing area is large. So we plan to do these works in this program: 1、Based on the SPOT remote sensing image, we get the co-seismic displacement in N-S direction and W-E direction by the COSI-CORR software; 2、We invert the displacement field by wavelet-domain inversion method. After applying two-dimensional wavelet transform to the scalar displacement field, the wavelet coefficients corresponding to low frequency part are used. Thus, it can both use overall characteristics of displacement field and reduce the effect of noise; 3、We study the earthquake source rupture process combined the SPOT data with the far field waveform data(for example, 2011 Qin

英文关键词： SPOT satellite；remote sensing image；wavelet-domain inversion method；source rupture process；