{"title":"病态部分EIV模型的虚拟观测方法及精度估计","authors":"Leyang Wang, Guisen Wen, Yingwen Zhao","doi":"10.1061/(ASCE)SU.1943-5428.0000282","DOIUrl":null,"url":null,"abstract":"AbstractThis paper presents a method for solving the ill-posed problem of the partial error-in-variables (EIV) model and a precision estimation method based on a second-order derivative approximate...","PeriodicalId":54366,"journal":{"name":"Journal of Surveying Engineering","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1061/(ASCE)SU.1943-5428.0000282","citationCount":"7","resultStr":"{\"title\":\"Virtual Observation Method and Precision Estimation for Ill-Posed Partial EIV Model\",\"authors\":\"Leyang Wang, Guisen Wen, Yingwen Zhao\",\"doi\":\"10.1061/(ASCE)SU.1943-5428.0000282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractThis paper presents a method for solving the ill-posed problem of the partial error-in-variables (EIV) model and a precision estimation method based on a second-order derivative approximate...\",\"PeriodicalId\":54366,\"journal\":{\"name\":\"Journal of Surveying Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1061/(ASCE)SU.1943-5428.0000282\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Surveying Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000282\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Surveying Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000282","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Virtual Observation Method and Precision Estimation for Ill-Posed Partial EIV Model
AbstractThis paper presents a method for solving the ill-posed problem of the partial error-in-variables (EIV) model and a precision estimation method based on a second-order derivative approximate...
期刊介绍：
The Journal of Surveying Engineering covers the broad spectrum of surveying and mapping activities encountered in modern practice. It includes traditional areas such as construction surveys, control surveys, photogrammetric mapping, engineering layout, deformation measurements, precise alignment, and boundary surveying. It also includes newer development such as satellite positioning; spatial database design, quality assurance, and information management of geographic information systems; computer applications involving modeling, data structures, algorithms, and information processing; digital mapping, coordinate systems, cartographic representations, and the role of surveying engineering professionals in an information society.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
