{"title":"可靠性矩阵QvvP重复计算的快速递归方法","authors":"Shan Jie","doi":"10.1016/0031-8663(89)90031-8","DOIUrl":null,"url":null,"abstract":"<div><p>In quality analysis, optimization design and blunder detection of many photogrammetric problems, repeated computation of reliability matrix <em>QvvP</em> is often required. In this paper, a new recursive method for repeated computation of <em>QvvP</em> is developed. From a test on a bundle block adjustment, it is shown that this new method posesses much higher computational efficiency than the conventional methods.</p></div>","PeriodicalId":101020,"journal":{"name":"Photogrammetria","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1989-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0031-8663(89)90031-8","citationCount":"3","resultStr":"{\"title\":\"A fast recursive method for repeated computation of reliability matrix QvvP\",\"authors\":\"Shan Jie\",\"doi\":\"10.1016/0031-8663(89)90031-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In quality analysis, optimization design and blunder detection of many photogrammetric problems, repeated computation of reliability matrix <em>QvvP</em> is often required. In this paper, a new recursive method for repeated computation of <em>QvvP</em> is developed. From a test on a bundle block adjustment, it is shown that this new method posesses much higher computational efficiency than the conventional methods.</p></div>\",\"PeriodicalId\":101020,\"journal\":{\"name\":\"Photogrammetria\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0031-8663(89)90031-8\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Photogrammetria\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0031866389900318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetria","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0031866389900318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast recursive method for repeated computation of reliability matrix QvvP
In quality analysis, optimization design and blunder detection of many photogrammetric problems, repeated computation of reliability matrix QvvP is often required. In this paper, a new recursive method for repeated computation of QvvP is developed. From a test on a bundle block adjustment, it is shown that this new method posesses much higher computational efficiency than the conventional methods.
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