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    Novel Regularization Method of Adaptively Balanced L1 and L2 Norms with Bias Removal

    Source: Journal of Surveying Engineering:;2025:;Volume ( 151 ):;issue: 004::page 04025011-1
    Author:
    Han, Jie
    ,
    Zhang, Zhichao
    ,
    Zheng, Shouzhu
    ,
    Fu, Qing
    ,
    Song, Wenping
    ,
    Ding, Haiyong
    ,
    Wang, Minghua
    ,
    Huang, Weiguo
    DOI: 10.1061/JSUED2.SUENG-1584
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn various inversions of geodesy, photogrammetry, and remote sensing, one with different measurement adjustment models frequently encounters ill-posed problems. Stable solutions are typically obtained by regularization, which effectively ...
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      Novel Regularization Method of Adaptively Balanced L1 and L2 Norms with Bias Removal

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313539
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    contributor authorHan, Jie
    contributor authorZhang, Zhichao
    contributor authorZheng, Shouzhu
    contributor authorFu, Qing
    contributor authorSong, Wenping
    contributor authorDing, Haiyong
    contributor authorWang, Minghua
    contributor authorHuang, Weiguo
    date accessioned2026-08-20T12:29:48Z
    date available2026-08-20T12:29:48Z
    date copyright2025/07/08
    date issued2025
    identifier otherJSUED2.SUENG-1584.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313539
    description abstractAbstractIn various inversions of geodesy, photogrammetry, and remote sensing, one with different measurement adjustment models frequently encounters ill-posed problems. Stable solutions are typically obtained by regularization, which effectively ...
    publisherAmerican Society of Civil Engineers
    titleNovel Regularization Method of Adaptively Balanced L1 and L2 Norms with Bias Removal
    typeJournal Article
    journal volume151
    journal issue4
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/JSUED2.SUENG-1584
    journal fristpage04025011-1
    journal lastpage04025011-16
    page16
    treeJournal of Surveying Engineering:;2025:;Volume ( 151 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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