物探化探计算技术2018，Vol.40Issue(2)：212-217,6.DOI:10.3969/j.issn.1001-1749.2018.02.11
基于光滑约束正则化的电磁波层析反演
Electromagnetic wave tomography inversion based on smoothing constrained regularization
摘要
Abstract
The nature of the tomography inversion is used to solve the ill-conditioned equations,and the coefficient matrix is usually a large sparse matrix.Considering that regularization can improve the stability of the solution,and the LSQR method can reduce the storage space and speed up the calculation efficiency.Therefore,this paper proposes a new algorithm based on smoothing constrained regularization,which combines the above two advantages.The regularization parameter is a crucial fac-tor in inversion,while the L-curve method is used to select the best regularization parameter in this paper.A numerical exam-ple based on the travel-time tomography shows that the velocity profile in the best regularization parameter can clearly recog-nize the anomaly feature,and prove the validity of the tomography inversion algorithm based on smoothing constrained regulari-zation.关键词
电磁波层析成像/正则化/最光滑模型约束/LSQR算法/L曲线法Key words
electromagnetic tomography/regularization/smoothing constrained/LSQR/L-curve分类
天文与地球科学引用本文复制引用
林芳鹏,戴前伟,雷轶..基于光滑约束正则化的电磁波层析反演[J].物探化探计算技术,2018,40(2):212-217,6.基金项目
国家自然科学基金重大项目(41374118) （41374118）
