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 …

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 …

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 …

Deep learning-based super-resolution is an essential technique for acquiring high-
resolution digital elevation models (DEMs) by enhancing the spatial resolution of low …

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 …

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 …

High-resolution digital elevation models (DEMs) are widely used in many fields such as
mapping, hydrology, meteorology and geology, where they can improve the accuracy and …

The high-resolution digital elevation model (HR DEM) plays an important role in
hydrological analysis, cartographic generalization, and national security. As the main high …

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 …

Abstract Digital Elevation Models (DEMs) are essential for comprehending the three-
dimensional (3D) structure of the Earth's surface. When the resolution of airborne or satellite …