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

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Bibliografiska uppgifter
I publikationen:	Heritage Science vol. 13, no. 1 (Dec 2025), p. 174
Utgiven:	Springer Nature B.V.
Ämnen:	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
Länkar:	Citation/Abstract Full Text - PDF
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