[HTML][HTML] DEM super-resolution guided by shaded relief using attention-based fusion

W Huang, Q Sun, W Guo, Q Xu, J Ma, T Gao… - International Journal of …, 2024 - Elsevier
Deep-learning based approaches have been proven effective for Digital Elevation Model
(DEM) super-resolution (SR) tasks. Previous networks typically treat DEM elevation values …

Residual SwinV2 transformer coordinate attention network for image super resolution

Y Lei, Z Zhu, Y Qin, C Zhu, Y Zhu - AI Communications, 2024 - content.iospress.com
Swin Transformers have been designed and used in various image super-resolution (SR)
applications. One of the recent image restoration methods is RSTCANet, which combines …

New approach for satellite DEM accuracy enhancement by combing machine learning, fuzzy majority voting, and weighted interpolation techniques

WM Kandil, FH Zarzoura, M Salah… - Innovative Infrastructure …, 2024 - Springer
The digital elevation model (DEM) is crucial in many global and regional scientific studies in
civilian and military applications. The aim of this research is to develop and test a new DEM …

DEM Super-Resolution Assisted by Remote Sensing Images Content Feature

B Gao, L Yue - 2024 5th International Conference on Geology …, 2024 - ieeexplore.ieee.org
Deep learning has achieved promising progress in the super-resolution (SR) of digital
elevation models (DEMs) by effectively exploiting the correspondences of terrain features at …

TFSR: Terrain Factor Super Resolution

S Zhang, J Dong, W Hou - 2024 5th International Conference …, 2024 - ieeexplore.ieee.org
The increasing demand for high-resolution Digital Elevation Models (DEMs) across diverse
fields necessitates efficient acquisition methods. High-resolution DEMs offer enhanced …