Applying deep learning model to aerial image for landslide anomaly detection through optimizing process
Taiwan’s mountainous terrain is highly susceptible to landslides due to extreme weather events and anthropogenic activities. This study proposed a process offering an efficient reliable approach for rapid post-hazard landslide anomaly detection. The process employing the GANomaly deep learning model...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2453072 |
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