Xiongfeng Yan

Orcid: 0000-0003-4748-464X

According to our database1, Xiongfeng Yan authored at least 15 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
A Novel Approach for Multiscale Lunar Crater Detection by the Use of Path-Profile and Isolation Forest Based on High-Resolution Planetary Images.
IEEE Trans. Geosci. Remote. Sens., 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

Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Building Typification in Map Generalization Using Affinity Propagation Clustering.
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

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

Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network.
CoRR, 2018

Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network (Short Paper).
Proceedings of the 10th International Conference on Geographic Information Science, 2018

2017
Template Matching and Simplification Method for Building Features Based on Shape Cognition.
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


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