Automatic damage detection and localization of ancient city walls—a case study of the Great Wall

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Detalles Bibliográficos
Publicado en:	Heritage Science vol. 13, no. 1 (Dec 2025), p. 174
Publicado:	Springer Nature B.V.
Materias:	China Great Wall-China Localization method Damage detection Computer vision Load bearing elements Structural safety Genetic algorithms Damage localization Object recognition Image segmentation Image processing Walls Target detection Accuracy Masonry Unmanned aerial vehicles Architecture Methods Algorithms Automation Cracks Localization Case studies
Acceso en línea:	Citation/Abstract Full Text - PDF
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