[HTML][HTML] A global-information-constrained deep learning network for digital elevation model super-resolution

X Han, X Ma, H Li, Z Chen - Remote Sensing, 2023 - mdpi.com
High-resolution DEMs can provide accurate geographic information and can be widely used
in hydrological analysis, path planning, and urban design. As the main complementary …

Feature-enhanced deep learning network for digital elevation model super-resolution

X Ma, H Li, Z Chen - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
The high-resolution digital elevation model (HR DEM) plays an important role in
hydrological analysis, cartographic generalization, and national security. As the main high …

Terrain feature-aware deep learning network for digital elevation model superresolution

Y Zhang, W Yu, D Zhu - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Neural networks (NNs) have demonstrated the potential to recover finer textural details from
lower-resolution images by superresolution (SR). Given similar grid-based data structures …

[HTML][HTML] An enhanced residual feature fusion network integrated with a terrain weight module for digital elevation model super-resolution

G Chen, Y Chen, JP Wilson, A Zhou, Y Chen, H Su - Remote Sensing, 2023 - mdpi.com
The scale of digital elevation models (DEMs) is vital for terrain analysis, surface simulation,
and other geographic applications. Compared to traditional super-resolution (SR) methods …

Deep gradient prior network for DEM super-resolution: Transfer learning from image to DEM

Z Xu, Z Chen, W Yi, Q Gui, W Hou, M Ding - ISPRS Journal of …, 2019 - Elsevier
Digital elevation model (DEM) super-resolution (SR) aims to increase the spatial resolution
of a DEM through data processing, rather than using sensors with higher accuracy. Inspired …

TTSR: A transformer-based topography neural network for digital elevation model super-resolution

Y Wang, S Jin, Z Yang, H Guan, Y Ren… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Digital elevation models (DEMs) are crucial geographical data sources, whereas the
resolution of commonly used DEM products is low and cannot meet the requirement of …

[HTML][HTML] A large scale Digital Elevation Model super-resolution Transformer

Z Li, X Zhu, S Yao, Y Yue, ÁF García-Fernández… - International Journal of …, 2023 - Elsevier
Abstract The Digital Elevation Model (DEM) super-resolution approach aims to improve the
spatial resolution or detail of an existing DEM by applying techniques such as machine …

[HTML][HTML] Super-resolution for terrain modeling using deep learning in high mountain Asia

Y Jiang, LY Xiong, X Huang, S Li, W Shen - International Journal of Applied …, 2023 - Elsevier
Abstract High Mountain Asia (HMA) is characterized by some of the most complex and
rugged terrain conditions in the world. However, high resolution terrain data are not easy to …

[HTML][HTML] A DEM super-resolution reconstruction network combining internal and external learning

X Lin, Q Zhang, H Wang, C Yao, C Chen, L Cheng… - Remote Sensing, 2022 - mdpi.com
The study of digital elevation model (DEM) super-resolution reconstruction algorithms has
solved the problem of the need for high-resolution DEMs. However, the DEM super …

[HTML][HTML] Comparison of DEM super-resolution methods based on interpolation and neural networks

Y Zhang, W Yu - Sensors, 2022 - mdpi.com
High-resolution digital elevation models (DEMs) play a critical role in geospatial databases,
which can be applied to many terrain-related studies such as facility siting, hydrological …