Recognition and Mapping of Landslide Using a Fully Convolutional DenseNet and Influencing Factors
The recognition and mapping of landslide (RML) is an important task in hazard and risk research and can provide a scientific basis for the prevention and control of landslide disasters. However, traditional RML methods are inefficient, costly, and not intuitive. With the rapid development of compute...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2021-01-01
|
| Seri Bilgileri: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/9502947/ |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|