Landslide detection with Mask R-CNN using complex background enhancement based on multi-scale samples
Deep learning has been widely used in landslides detection. However, in practical application, the sample quality often cannot meet the requirements of training models. Some smaller landslides are easy to be omitted if there are multiple landslide objects in one sample. Furthermore, there are some o...
| Published in: | Geomatics, Natural Hazards & Risk |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2300823 |
