Application of multi-channel convolutional neural network to improve DEM data in urban cities

NS Nguyen, DE Kim, Y Jia, SV Raghavan, SY Liong - Technologies, 2022 - mdpi.com
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 …

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 …

A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs

L Jiang, Y Hu, X Xia, Q Liang, A Soltoggio, SR Kabir - Water, 2020 - mdpi.com
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 …

Simple-yet-effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: application to flood modeling

DE Kim, SY Liong, P Gourbesville, L Andres, J Liu - Water, 2020 - mdpi.com
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 …

A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering

JG Singla, HB Patel, DK Patel - Journal of the Indian Society of Remote …, 2024 - Springer
Building detection and shape extraction from satellite imagery are essential requirement for
virtual 3D city modelling. For accurate 3D city modeling, the exact heights of buildings are …

Rapid enhanced-DEM using Google Earth Engine, machine learning, weighted and spatial interpolation techniques

WM Kandil, FH Zarzoura, MS Goma… - World Journal of …, 2024 - emerald.com
Purpose This study aims to present a new rapid enhancement digital elevation model (DEM)
framework using Google Earth Engine (GEE), machine learning, weighted interpolation and …

Spatial interpolation of global DEM using federated deep learning

Z Huo, J Wen, Z Li, D Chen, M Xi, Y Li, J Yang - Scientific Reports, 2024 - nature.com
The digital elevation model (DEM) provides important data support for 3D terrain modeling.
However, due to the complex and changeable terrain in the real world and the high cost of …

Deep neural networks for above-ground detection in very high spatial resolution digital elevation models

D Marmanis, F Adam, M Datcu… - ISPRS Annals of the …, 2015 - isprs-annals.copernicus.org
Deep Learning techniques have lately received increased attention for achieving state-of-
the-art results in many classification problems, including various vision tasks. In this work …

[HTML][HTML] Reconstructing high-resolution DEMs from 3D terrain features using conditional generative adversarial networks

M Li, W Dai, G Wang, B Wang, K Chen, Y Gao… - International Journal of …, 2024 - Elsevier
Abstract High-resolution Digital Elevation Models (DEMs) are essential for precise
geographic analysis. However, obtaining high-resolution DEMs in regions with dense …

Vertical accuracy assessment of Copernicus DEM (case study: Tehran and Jam cities)

MA Ghannadi, S Alebooye… - ISPRS Annals of the …, 2023 - isprs-annals.copernicus.org
Digital Elevation Models (DEMs) are widely utilized in a variety of fields, including,
hydrology, geomorphology, and geoscience. The dataset is now openly and freely available …