Application of AHP to road selection

Y Han, Z Wang, X Lu, B Hu - ISPRS International Journal of Geo …, 2020 - mdpi.com
The analytic hierarchy process (AHP), a decision-making method, allows the relative
prioritization and assessment of alternatives under multiple criteria contexts. This method is …

Comparison of DEM super-resolution methods based on interpolation and neural networks

Y Zhang, W Yu - Sensors, 2022 - mdpi.com
High-resolution digital elevation models (DEMs) play a critical role in geospatial databases,
which can be applied to many terrain-related studies such as facility siting, hydrological …

Ensembled masked graph autoencoders for link anomaly detection in a road network considering spatiotemporal features

W Yu, M Huang, S Wu, Y Zhang - Information Sciences, 2023 - Elsevier
Road anomaly detection aims to find a small group of roads that are exceptional with respect
to the rest of the physical links in a transportation network, posing great challenges for …

Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations

W Yu, G Wang - International Journal of Geographical Information …, 2023 - Taylor & Francis
As an important task in spatial data mining, trajectory transportation mode recognition can
reflect various individual behaviors and traveling patterns in urban space. As trajectory is …

Using machine learning and data enrichment in the selection of roads for small-scale maps

I Karsznia, A Adolf, S Leyk, R Weibel - … and Geographic Information …, 2024 - Taylor & Francis
Making decisions about which objects to keep or omit is challenging in map design. This
process, called selection, constitutes the first operation in cartographic generalization. In this …

Deep learning framework for geological symbol detection on geological maps

MQ Guo, W Bei, Y Huang, Z Chen, X Zhao - Computers & Geosciences, 2021 - Elsevier
Dynamic legend generation for geological maps aims to detect and identify geological map
symbols within the current viewshed and generate a corresponding real-time legend to help …

Automatic road network selection method considering functional semantic features of roads with graph convolutional networks

J Tang, M Deng, J Peng, H Liu, X Yang… - International Journal of …, 2024 - Taylor & Francis
Road network selection plays a key role in map generalization for creating multi-scale road
network maps. Existing methods usually determine road importance based on road …

A Method for Intelligent Road Network Selection Based on Graph Neural Network

X Guo, J Liu, F Wu, H Qian - ISPRS International Journal of Geo …, 2023 - mdpi.com
As an essential role in cartographic generalization, road network selection produces basic
geographic information across map scales. However, the previous selection methods could …

[HTML][HTML] RnR-SMART: Resilient smart city evacuation plan based on road network reconfiguration in outbreak response

J Kim, J Park, K Kim, M Kim - Sustainable Cities and Society, 2021 - Elsevier
As the frequency of disasters increases worldwide, resilience planning through disaster
management has become critical. Disaster managers must make difficult decisions …

A novel truncated nonconvex nonsmooth variational method for SAR image despeckling

M Guo, C Han, W Wang, S Zhong, R Lv… - Remote Sensing …, 2021 - Taylor & Francis
Speckle reduction is a fundamental problem in coherent imaging systems. In this paper, to
suppress the speckle in SAR images, we propose a novel truncated nonconvex nonsmooth …