[HTML][HTML] A systematic review and meta-analysis of Digital elevation model (DEM) fusion: Pre-processing, methods and applications
The remote sensing community has identified data fusion as one of the key challenging
topics of the 21st century. The subject of image fusion in two-dimensional (2D) space has …
topics of the 21st century. The subject of image fusion in two-dimensional (2D) space has …
Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight maps
Recently, the bistatic SAR interferometry mission TanDEM-X provided a global terrain map
with unprecedented accuracy. However, visual inspection and empirical assessment of …
with unprecedented accuracy. However, visual inspection and empirical assessment of …
[HTML][HTML] Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning
M Hosseini, H Bagheri - Heliyon, 2025 - cell.com
This study focuses on generating high-resolution annual solar energy potential maps
(ASMs) using global Digital Elevation Models (DEMs) to aid in solar panel placement …
(ASMs) using global Digital Elevation Models (DEMs) to aid in solar panel placement …
[HTML][HTML] Neural Network-Based Fusion of InSAR and Optical Digital Elevation Models with Consideration of Local Terrain Features
R Gui, Y Qin, Z Hu, J Dong, Q Sun, J Hu, Y Yuan, Z Mo - Remote Sensing, 2024 - mdpi.com
InSAR and optical techniques represent two principal approaches for the generation of large-
scale Digital Elevation Models (DEMs). Due to the inherent limitations of each technology, a …
scale Digital Elevation Models (DEMs). Due to the inherent limitations of each technology, a …
DEM fusion concept based on the LS-SVM cokriging method
A Setiyoko, AM Arymurthy… - International Journal of …, 2019 - Taylor & Francis
Data fusion from two sources of data could develop better output since the process may
minimise any inherent disadvantages of the data. Cokriging data fusion requires a …
minimise any inherent disadvantages of the data. Cokriging data fusion requires a …
Fusion of Urban TanDEM-X raw DEMs using variational models
Recently, a new global digital elevation model (DEM) with pixel spacing of 0.4 arcsec and
relative height accuracy finer than 2 m for flat areas (slopes<; 20%) and better than 4 m for …
relative height accuracy finer than 2 m for flat areas (slopes<; 20%) and better than 4 m for …
T&Amp; A-DEM-California: A Large-Scale Dem Elevation Error Prediction Dataset Based on Tandem-X and AW3D30 DEMs in California, USA
C Yu, Q Wang, J Zhang, Z Zhong, T Lai… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
High-precision Digital Elevation Model (DEM) is crucial in geoscience, ecology, agriculture,
hydrology, and other applications. In recent years, the rise of artificial intelligence algorithms …
hydrology, and other applications. In recent years, the rise of artificial intelligence algorithms …
Enhancement of digital elevation models using tree-based ensemble machine learning algorithms
C Okolie - 2023 - open.uct.ac.za
Geospatial practitioners and national map** agencies (NMAs) in Africa are constrained to
rely on open-access remote sensing datasets, even as they struggle to meet up with best …
rely on open-access remote sensing datasets, even as they struggle to meet up with best …