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GAD-YOLO: A Sight-Distance Adaptive Detection Algorithm for General Aviation Aircraft Skin Damage

To address the challenges in detecting surface damage on general aviation aircraft skin—such as feature degradation under varying imaging distances, significant target scale variations, and low recognition accuracy—this paper proposes GAD-YOLO, a sight-distance adaptive detection algorithm. First, a...

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Principais autores: Tao Wu, Jifei Zhong, Zhanhai Wang, Chen Chen, Zhenghong Xia
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Algorithms
Fag:
aviation safety
general aviation
aircraft skin damage
object detection
YOLO
Online adgang:https://www.mdpi.com/1999-4893/19/1/61
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