metadata
license: mit
tags:
- pytorch
- pytorch-lightning
- dem
- super-resolution
- remote-sensing
DEM Super-Resolution Model
This is a trained PyTorch Lightning model for super-resolving 30m SRTM DEMs to 10m resolution using Sentinel-2 imagery.
Model Details
- Architecture: U-Net with ResNet34 encoder
- Input Channels: 7 (SRTM, RGB, NIR, NDVI, mask)
- Output: Residual corrections for DEM super-resolution
- Training Data: McKinley Mine LiDAR DEM
- Inference: Applied to Marrakech, Morocco
Usage
import torch
from your_model_loading_code import DeepDEMRefinement
model = DeepDEMRefinement.load_from_checkpoint("deepdem_model.ckpt")
# Use as needed