Identifying Linear Traces of the Han Dynasty Great Wall in Dunhuang Using Gaofen-1 Satellite Remote Sensing Imagery and the Hough Transform

Researchers have developed an automated method to identify linear traces of the Han Dynasty Great Wall using high-resolution Gaofen-1 satellite imagery, achieving 80% accuracy. This approach combines image processing techniques with the Linear Hough Transform (LHT) and an improved Otsu segmentation algorithm. The study demonstrates that computer-based identification can effectively map and assess the preservation state of ancient structures like the Great Wall in Dunhuang, China. Additionally, the method shows potential for broader application across different dynasties and regions, offering a scalable solution for archaeological research and conservation efforts.

Luo, L., Bachagha, N., Yao, Y., Liu, C., Shi, P., Zhu, L., Shao, J., & Wang, X. (2019). Identifying Linear Traces of the Han Dynasty Great Wall in Dunhuang Using Gaofen-1 Satellite Remote Sensing Imagery and the Hough Transform. Remote Sensing, 11(22), 2711. https://doi.org/10.3390/rs11222711