Deep learning methods applied to digital elevation models: state of the art
JJ Ruiz-Lendínez, FJ Ariza-López… - Geocarto …, 2023 - Taylor & Francis
Deep Learning (DL) has a wide variety of applications in various thematic domains,
including spatial information. Although with limitations, it is also starting to be considered in …
including spatial information. Although with limitations, it is also starting to be considered in …
[HTML][HTML] A large scale Digital Elevation Model super-resolution Transformer
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 …
spatial resolution or detail of an existing DEM by applying techniques such as machine …
A continuous digital elevation representation model for DEM super-resolution
The surface of the Earth is continuous, and obtaining precise elevation data at arbitrary
query positions is essential for many applications and analyses. However, existing digital …
query positions is essential for many applications and analyses. However, existing digital …
TTSR: A transformer-based topography neural network for digital elevation model super-resolution
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 …
resolution of commonly used DEM products is low and cannot meet the requirement of …
[HTML][HTML] Integrating Topographic Skeleton into Deep Learning for Terrain Reconstruction from GDEM and Google Earth Image
The topographic skeleton is the primary expression and intuitive understanding of
topographic relief. This study integrated a topographic skeleton into deep learning for terrain …
topographic relief. This study integrated a topographic skeleton into deep learning for terrain …
DEM super-resolution framework based on deep learning: decomposing terrain trends and residuals
Deep learning-based super-resolution is an essential technique for acquiring high-
resolution digital elevation models (DEMs) by enhancing the spatial resolution of low …
resolution digital elevation models (DEMs) by enhancing the spatial resolution of low …
Intelligent terrain generation considering global information and terrain patterns
Z Chen, X Ma, H Li, X Xu, X Han - Computers & Geosciences, 2024 - Elsevier
Simulated terrains can provide rich information for landform and terrain research, disaster
prediction, rescue and disaster relief, and national security. Quickly generating an accurate …
prediction, rescue and disaster relief, and national security. Quickly generating an accurate …
High-resolution Digital Bathymetric Model (DBM) with Uncertainty Reconstructed by Deep Learning with Dropout
High-resolution (HR) digital bathymetric models (DBMs) are essential for marine science
studies. Currently, there are very few areas where detailed seafloor surveys have been …
studies. Currently, there are very few areas where detailed seafloor surveys have been …
A DEM Image Super-Resolution Reconstruction Method Based on the Texture Transfer of High-Resolution Remote Sensing Images
J Ye, Y Deng, Z Shao, N Xiang… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Traditional methods for acquiring high-resolution Digital Elevation Models (DEMs) are costly
and laborious. Deep learning-based image super-resolution (SR) offers a promising …
and laborious. Deep learning-based image super-resolution (SR) offers a promising …
LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution
Z Siyuan, D Jingxian, TB Kabika… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Digital surface models (DSMs) have numerous valuable applications in infrastructure and
industrial development. However, the spatial resolutions of DSMs are often limited due to …
industrial development. However, the spatial resolutions of DSMs are often limited due to …