Overview
[AI-Generated Summary]: Wuhan University’s Cultural Heritage Intelligent Computing Laboratory has achieved significant breakthroughs in remote sensing archaeology and digital preservation, with recent publications in Journal of Archaeological Science, npj Heritage Science, and Journal of Cultural Heritage demonstrating innovative applications of AI and remote sensing for predicting ancient city sites in the Jianghan region, detecting moated archaeological sites in Thailand using deep learning, identifying ancient city walls through LiDAR data, and automating the generation of line drawings from Dunhuang murals.
Research Highlights
- Lead Researchers: Professor Hu Qingwu (胡庆武) and Professor Wang Shaohua (王少华)
- Institution: Wuhan University Cultural Heritage Intelligent Computing Laboratory
- Publications: Journal of Archaeological Science, npj Heritage Science, Journal of Cultural Heritage, Computer Vision and Image Understanding
- Key Technologies: Google Earth Engine, YOLOv5s deep learning, LiDAR remote sensing, CycleGAN
- Applications: Ancient city prediction (80% accuracy), moated site detection (100% identification), city wall segmentation (>90% accuracy)
- Field Projects: Over 10,000 km² of LiDAR surveys across major archaeological sites in China
- Funding: National Key R&D Program 2024YFB3908900 and multiple NSFC projects