A NOVEL DATA AUGMENTATION METHOD TO ENHANCE THE TRAINING DATASET FOR ROAD EXTRACTION FROM SWISS HISTORICAL MAPS

7 citations as recorded by crossref.

1. Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics Y. Kang et al. 10.1080/15230406.2023.2295943
2. Automatic vectorization of historical maps: A benchmark Y. Chen et al. 10.1371/journal.pone.0298217
3. Semantic segmentation of historical maps using Self-Constructing Graph Convolutional Networks L. Arzoumanidis et al. 10.1080/15230406.2025.2468304
4. A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting C. Jiao et al. 10.1016/j.compenvurbsys.2023.102060
5. Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers E. Sertel et al. 10.3390/ijgi13120464
6. Settlement relationships and their morphological homogeneity across time and scale Y. Räth et al. 10.1038/s41598-023-38338-9
7. MHSI-Net: an interpretable multi-modal deep learning network for street identification in historical maps Q. Liu et al. 10.1080/13658816.2025.2528098