Min Yang
Orcid: 0000-0003-1973-527XAffiliations:
- Wuhan University, School of Resource and Environment Sciences, China
According to our database1,
Min Yang
authored at least 30 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Classification of urban interchange patterns using a model combining shape context descriptor and graph convolutional neural network.
Geo spatial Inf. Sci., September, 2024
A graph-based neural network approach to integrate multi-source data for urban building function classification.
Comput. Environ. Urban Syst., 2024
2023
A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation.
Int. J. Digit. Earth, December, 2023
Integrating domain knowledge and graph convolutional neural networks to support river network selection.
Trans. GIS, November, 2023
Geospatial Network Analysis and Origin-Destination Clustering of Bike-Sharing Activities during the COVID-19 Pandemic.
ISPRS Int. J. Geo Inf., January, 2023
Int. J. Geogr. Inf. Sci., 2023
Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network.
Expert Syst. Appl., 2023
2022
A Long Short-Term Memory-Based Approach for Detecting Turns and Generating Road Intersections from Vehicle Trajectories.
Sensors, 2022
Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor.
ISPRS Int. J. Geo Inf., 2022
A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions.
ISPRS Int. J. Geo Inf., 2022
A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects.
ISPRS Int. J. Geo Inf., 2022
A hybrid approach to building simplification with an evaluator from a backpropagation neural network.
Int. J. Geogr. Inf. Sci., 2022
Detecting interchanges in road networks using a graph convolutional network approach.
Int. J. Geogr. Inf. Sci., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
ISPRS Int. J. Geo Inf., 2021
ISPRS Int. J. Geo Inf., 2021
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps.
Int. J. Geogr. Inf. Sci., 2021
2020
A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization.
ISPRS Int. J. Geo Inf., 2020
2019
A polygon aggregation method with global feature preservation using superpixel segmentation.
Comput. Environ. Urban Syst., 2019
IEEE Access, 2019
Shape Decision-Making in Map-Like Visualization Design Using the Simulated Annealing Algorithm.
IEEE Access, 2019
2018
A map-algebra-based method for automatic change detection and spatial data updating across multiple scales.
Trans. GIS, 2018
Updating authoritative spatial data from timely sources: A multiple representation approach.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China.
IEEE Access, 2018
2017
Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing.
ISPRS Int. J. Geo Inf., 2017
A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data.
ISPRS Int. J. Geo Inf., 2017
Int. J. Geogr. Inf. Sci., 2017
2015
A vector field model to handle the displacement of multiple conflicts in building generalization.
Int. J. Geogr. Inf. Sci., 2015
2013
A shape analysis and template matching of building features by the Fourier transform method.
Comput. Environ. Urban Syst., 2013