Has anyone worked on AI/ML approaches for detecting ancient structures in LiDAR data? Given that training data for identifying remnants of man-made structures (e.g., Roman or medieval ruins) is quite sparse, how would you approach this problem?

Some initial thoughts:

- Data Augmentation: Using synthetic or simulated LiDAR data from known structures to improve training. - Few-Shot Learning / Transfer Learning: Training models on better-documented archaeological sites and applying them to new areas.

Would love to hear thoughts from people with experience in remote sensing, computer vision, or archaeology!