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    Intelligent Inspection Method for Aircraft Damage Defects Based on Small-Sample Data Augmentation

    Source: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004::page 04026023-1
    Author:
    Liu, Chunwu
    ,
    Wang, Zhaokui
    DOI: 10.1061/JAEEEZ.ASENG-6165
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate detection of aircraft surface damage is critical for assessing structural integrity, yet the scarcity of labeled damage images poses a significant challenge for deep learning–based inspection methods. This paper proposes a novel ...Practical ApplicationsThis research introduces an advanced aircraft damage detection approach tailored for operational environments where obtaining extensive labeled image data is impractical. By leveraging ADISA-GAN, the framework significantly enhances ...
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      Intelligent Inspection Method for Aircraft Damage Defects Based on Small-Sample Data Augmentation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314126
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    contributor authorLiu, Chunwu
    contributor authorWang, Zhaokui
    date accessioned2026-08-20T21:12:59Z
    date available2026-08-20T21:12:59Z
    date copyright2026/05/12
    date issued2026
    identifier otherJAEEEZ.ASENG-6165.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314126
    description abstractAbstractAccurate detection of aircraft surface damage is critical for assessing structural integrity, yet the scarcity of labeled damage images poses a significant challenge for deep learning–based inspection methods. This paper proposes a novel ...Practical ApplicationsThis research introduces an advanced aircraft damage detection approach tailored for operational environments where obtaining extensive labeled image data is impractical. By leveraging ADISA-GAN, the framework significantly enhances ...
    publisherAmerican Society of Civil Engineers
    titleIntelligent Inspection Method for Aircraft Damage Defects Based on Small-Sample Data Augmentation
    typeJournal Article
    journal volume39
    journal issue4
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/JAEEEZ.ASENG-6165
    journal fristpage04026023-1
    journal lastpage04026023-16
    page16
    treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian