SEMANTIC SEGMENTATION OF MANMADE LANDSCAPE STRUCTURES IN DIGITAL TERRAIN MODELS

6 citations as recorded by crossref.

1. Machine learning-ready remote sensing data for Maya archaeology Ž. Kokalj et al. https://doi.org/10.1038/s41597-023-02455-x
2. Automated mapping of dry stone walls in terraced landscapes using airborne laser scanning data A. Iglseder et al. https://doi.org/10.1007/s10980-026-02390-3
3. Generating impact maps from bomb craters automatically detected in aerial wartime images using marked point processes C. Kruse et al. https://doi.org/10.1016/j.ophoto.2022.100017
4. Applying automated object detection in archaeological practice: A case study from the southern Netherlands W. Verschoof‐van der Vaart & K. Lambers https://doi.org/10.1002/arp.1833
5. Automated large‐scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a Deep Learning YOLOv4 framework W. der Vaart et al. https://doi.org/10.1002/arp.1889
6. Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN M. Somrak et al. https://doi.org/10.3390/rs12142215