%0 Journal Article
%T Tomography inversion arithmetic for stochastic disturbance in media<br>介质随机扰动条件下的层析反演算法
%A 宋雷
%J 地球物理学进展
%D 2009
%I 
%X Tomography inversion was largely deteriorated by background media stochastic disturbance. Considering the stochastic disturb of the study area, an Autocorrelation Smooth Method(ASM) was introduced into computer tomography, which successfully extended pre-restriction from mean values to variances, mean values,and autocorrelation coefficients etc. The ASM stochastic computer tomography can suppress high-frequency disturbance and improve inversion precision. Engineering examples of electromagnetic tomography exploration to karst cares show that when the traditional tomography method could not get logical interpretation , ASM could still get reasonable geological profiles.
%K stochastic media
%K computer tomography
%K autocorrelation smooth method(ASM)
%K karst<br>随机介质
%K 层析反演
%K 自相关平滑算法
%K 岩溶
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=65CE641AB2DEAAF8B2D39ECB6B6B6C80&aid=5A4470531C90B71D76E87C755FBC9A69&yid=DE12191FBD62783C&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=4759DE41370E2E7A&eid=17FE7A1C78626A81&journal_id=1004-2903&journal_name=地球物理学进展&referenced_num=0&reference_num=21