Coseismic Landslide Mapping Based on Trans-UNet and Transfer Learning
Coseismic landslides often cause significant property damage and loss of life, necessitating timely and accurate detection for emergency response and hazard mitigation. Optical remote sensing imagery plays a critical role in landslide identification; however, sufficient high-resolution images might...
Saved in:
| Main Authors: | Tianhe Ren, Wenping Gong, Jun Chen, Liang Gao, Jiahao Wu, Xuyang Xiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11002703/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast report: near-real-time assessment of the ML6.4 Dapu earthquake-induced landslides
by: Kai-Shyr Wang, et al.
Published: (2025-04-01) -
Fast report: preliminary analysis of coseismic landslides in the 2025 M6.4 Dapu earthquake
by: Yi-Yu Li, et al.
Published: (2025-04-01) -
Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA
by: Zhenyu Zhao, et al.
Published: (2025-03-01) -
A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network
by: Hong-Zhi Cui, et al.
Published: (2025-08-01) -
Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)
by: Baoyi Zhang, et al.
Published: (2024-12-01)