A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs
The scarcity of high-resolution urban digital elevation model (DEM) datasets, particularly in
certain developing countries, has posed a challenge for many water-related applications …
certain developing countries, has posed a challenge for many water-related applications …
Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling
Urban flood modeling depends heavily on the quality of Digital Elevation Models (DEMs).
However, accurate, high-resolution DEMs are often expensive and not widely available …
However, accurate, high-resolution DEMs are often expensive and not widely available …
Application of multi-channel convolutional neural network to improve DEM data in urban cities
A digital elevation model (DEM) represents the topographic surface of the Earth and is an
indispensable source of data in many applications, such as flood modeling, infrastructure …
indispensable source of data in many applications, such as flood modeling, infrastructure …
Simple-yet-effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: application to flood modeling
Digital elevation models (DEMs) are crucial in flood modeling as DEM data reflects the
actual topographic characteristics where water can flow in the model. However, a high …
actual topographic characteristics where water can flow in the model. However, a high …
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 …
Improving the Accuracy of Urban Waterlogging Simulation: A Novel Computer Vision-Based Digital Elevation Model Refinement Approach for Roads and Densely …
Q Yang, H Huang, C Wang, X Lei, T Feng, X Zuo - Remote Sensing, 2023 - mdpi.com
Urban waterlogging is a natural disaster that occurs in developed cities globally and has
inevitably become severe due to urbanization, densification, and climate change. The digital …
inevitably become severe due to urbanization, densification, and climate change. The digital …
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach
ABSTRACT High-Resolution Digital Elevation Models (HRDEMs) have been used to
delineate fine-scale hydrographic features in landscapes with relatively level topography …
delineate fine-scale hydrographic features in landscapes with relatively level topography …
[HTML][HTML] Reconstructing high-resolution DEMs from 3D terrain features using conditional generative adversarial networks
Abstract High-resolution Digital Elevation Models (DEMs) are essential for precise
geographic analysis. However, obtaining high-resolution DEMs in regions with dense …
geographic analysis. However, obtaining high-resolution DEMs in regions with dense …
Bare‐Earth DEM generation in urban areas for flood inundation simulation using global digital elevation models
Accurate terrain representation is critical to estimating flood risk in urban areas. However, all
current global elevation data sets can be regarded as digital surface models in urban areas …
current global elevation data sets can be regarded as digital surface models in urban areas …
Satellite DEM improvement using multispectral imagery and an artificial neural network
DE Kim, J Liu, SY Liong, P Gourbesville, G Strunz - Water, 2021 - mdpi.com
The digital elevation model (DEM) is crucial for various applications, such as land
management and flood planning, as it reflects the actual topographic characteristic on the …
management and flood planning, as it reflects the actual topographic characteristic on the …