{"title":"基于波的成像与反演联合参数与状态估计","authors":"T. Leeuwen","doi":"10.1109/ICASSP.2017.7953350","DOIUrl":null,"url":null,"abstract":"In many applications, such as exploration geophysics, seismology and ultrasound imaging, waves are harnessed to image the interior of an object. We can pose the image formation process as a non-linear data-fitting problem: fit the coefficients of a wave-equation such that its solution fits the observations approximately. This allows one to effectively deal with errors in the observations.","PeriodicalId":6443,"journal":{"name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"348 1","pages":"6210-6214"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Joint parameter and state estimation for wave-based imaging and inversion\",\"authors\":\"T. Leeuwen\",\"doi\":\"10.1109/ICASSP.2017.7953350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many applications, such as exploration geophysics, seismology and ultrasound imaging, waves are harnessed to image the interior of an object. We can pose the image formation process as a non-linear data-fitting problem: fit the coefficients of a wave-equation such that its solution fits the observations approximately. This allows one to effectively deal with errors in the observations.\",\"PeriodicalId\":6443,\"journal\":{\"name\":\"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":\"348 1\",\"pages\":\"6210-6214\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.2017.7953350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2017.7953350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint parameter and state estimation for wave-based imaging and inversion
In many applications, such as exploration geophysics, seismology and ultrasound imaging, waves are harnessed to image the interior of an object. We can pose the image formation process as a non-linear data-fitting problem: fit the coefficients of a wave-equation such that its solution fits the observations approximately. This allows one to effectively deal with errors in the observations.