{"title":"大地电磁与重力联合反演中双正则化参数的自适应选择","authors":"Xiao Chen, K. Ge, Yanguo Wang, Man Guo","doi":"10.1109/CISP-BMEI.2016.7852913","DOIUrl":null,"url":null,"abstract":"the regularization theory is a key tool for geophysical inversions. In this paper, two regularization parameters are introduced into the magnetotelluric (MT)-gravity joint inversion. The very fast simulated annealing (VFSA) method is adopted to optimize the objective functional of the joint inversion. In view of the randomness of VFSA method for model productions, a new adaptive method is proposed to determine values of the regularization parameters. The synthetic model test for different projects shows an effectiveness of the new approach for regularized joint inversions.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"60 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive choice of bi-regularization parameters in the joint inversion of magnetotelluric and gravity\",\"authors\":\"Xiao Chen, K. Ge, Yanguo Wang, Man Guo\",\"doi\":\"10.1109/CISP-BMEI.2016.7852913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the regularization theory is a key tool for geophysical inversions. In this paper, two regularization parameters are introduced into the magnetotelluric (MT)-gravity joint inversion. The very fast simulated annealing (VFSA) method is adopted to optimize the objective functional of the joint inversion. In view of the randomness of VFSA method for model productions, a new adaptive method is proposed to determine values of the regularization parameters. The synthetic model test for different projects shows an effectiveness of the new approach for regularized joint inversions.\",\"PeriodicalId\":275095,\"journal\":{\"name\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"60 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI.2016.7852913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2016.7852913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive choice of bi-regularization parameters in the joint inversion of magnetotelluric and gravity
the regularization theory is a key tool for geophysical inversions. In this paper, two regularization parameters are introduced into the magnetotelluric (MT)-gravity joint inversion. The very fast simulated annealing (VFSA) method is adopted to optimize the objective functional of the joint inversion. In view of the randomness of VFSA method for model productions, a new adaptive method is proposed to determine values of the regularization parameters. The synthetic model test for different projects shows an effectiveness of the new approach for regularized joint inversions.