中南大学学报（自然科学版）Issue(5)：1699-1706,8.DOI:10.11817/j.issn.1672-7207.2015.05.018
基于分裂Bregman迭代的混合正则化重力场反演
Gravity inversion based on hyper-parameter regularization inversion via iteration splitting bregman algorithm
摘要
Abstract
Considering the depth resolution of gravity inversion is too low, a hyper-parameter regularization algorithm based on multi-scale L1 wavelet operator and total variation operator was proposed. Regarding the difficulty to calculate the inverse matrix of preconditioning matrix, a new preconditioner was introduced to carry out the hyper-parameter regularization inversion, which was solved by the minimum splitting Bregman iterative algorithm. The results show that the proposed method is vilid and effective, and has strong adaptability.关键词
混合正则化/分裂Bregman迭代算法/深度加权矩阵/多尺度小波/全变差正则化Key words
hyper-parameter regularization/splitting Bregman iterative algorithm/depth weighting matrix/multi-scale wavelet/total variation operator分类
天文与地球科学引用本文复制引用
曹书锦,朱自强,鲁光银..基于分裂Bregman迭代的混合正则化重力场反演[J].中南大学学报（自然科学版）,2015,(5):1699-1706,8.基金项目
国家自然科学基金资助项目(41174061,41374120)@@@@(Projects(41174061,41374120) supported by the National Natural Science Foundation of China) （41174061,41374120）
