[HTML][HTML] Geomorphometry and terrain analysis: Data, methods, platforms and applications
Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …
InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
Blind super-resolution for SAR images with speckle noise based on deep learning probabilistic degradation model and SAR priors
As an active microwave coherent imaging technology, synthetic aperture radar (SAR)
images suffer from severe speckle noise and low-resolution problems due to the limitations …
images suffer from severe speckle noise and low-resolution problems due to the limitations …
[HTML][HTML] UnTDIP: Unsupervised neural network for DEM super-resolution integrating terrain knowledge and deep prior
X Zhang, W Zhang, S Guo, P Zhang, H Fang… - International Journal of …, 2023 - Elsevier
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 …
dimensional (3D) structure of the Earth's surface. When the resolution of airborne or satellite …
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 …
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 …
and other geographic applications. Compared to traditional super-resolution (SR) methods …
[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 …
(DEM) super-resolution (SR) tasks. Previous networks typically treat DEM elevation values …
The dynamic fusion representation of multi-source fuzzy data
C Qin, B Guo, Y Zhang, Y Shen - Applied Intelligence, 2023 - Springer
Data fusion technology plays a pivotal role in aggregating, storing, and mining multi-source
data to extract its joint value through the construction of a unified fusion representation …
data to extract its joint value through the construction of a unified fusion representation …
A rapid high-resolution multi-sensory urban flood mapping framework via DEM upscaling
Urban floods can cause severe loss of economic and social assets, and remote sensing has
been an effective tool for flood mapping during disaster response. Due to the complexity of …
been an effective tool for flood mapping during disaster response. Due to the complexity of …
A coherence-guided InSAR phase unwrapping method with cycle-consistent adversarial networks
J Mu, Y Wang, S Zhan, G Yao, K Liu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Phase unwrapping (PU) is a critical processing step for obtaining information on land
surface deformation from interferometric synthetic aperture radar (InSAR) images …
surface deformation from interferometric synthetic aperture radar (InSAR) images …