物探化探计算技术Issue(6)：680-686,7.DOI:10.3969/j.issn.1001-1749.2015.06.02
利用阻尼型高斯牛顿法的激发极化数据聚焦反演
Regularized focusing inversion of induced polarization data using damped Gauss-Newton method
摘要
Abstract
In this paper,roughness,minimum support functional constraints and reference model,model parameter range constraints are incorporated into the objective function of induced polarization (IP)data inversion.Then we use the damped Gauss-Newton method to find the optimization of the objective function,with the model update being calculated using a pre-conditioned conjugate gradient algorithm.The method is demonstrated on two synthetic models by comparisons with the results obtained by the traditional inversion method based on smoothness stabilizing functional constraint.The model tests show that the proposed inversion algorithm has good reliability,stability,and high speed.The comparisons show that the program is more convergent and this approach helps to generate more focused and resolved images of blocky geoelectrical structures than traditional inversion approach.关键词
激发极化/高斯牛顿法/聚焦反演/最小支撑泛函Key words
induce polarization (IP)/Gauss-Newton method/focusing inversion/minimum support functional分类
天文与地球科学引用本文复制引用
叶益信,李泽林,付宸,丁尚见..利用阻尼型高斯牛顿法的激发极化数据聚焦反演[J].物探化探计算技术,2015,(6):680-686,7.基金项目
国家自然科学基金(41204055) （41204055）
中国地质大学(武汉)地球内部多尺度成像湖北省重点实验室开放基金项目(SMIL-2014-06) （武汉）
