Min Yang

发表

A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects

Xiongfeng Yan, Min Yang, 2022, ISPRS Int. J. Geo Inf..

A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions

Xiongfeng Yan, Minjun Cao, Min Yang, 2022, ISPRS Int. J. Geo Inf..

A hexagon-based method for polygon generalization using morphological operators

D. Burghardt, T. Ai, Min Yang, 2022, Int. J. Geogr. Inf. Sci..

Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network

T. Ai, Huafei Yu, Min Yang, 2022, Expert Syst. Appl..

Segmentation of measured point data using a parametric quadric surface approximation

Min Yang, E. Lee, Eung-Joo Lee, 1999, Comput. Aided Des..

Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method

B. Kong, Xiongfeng Yan, Min Yang, 2022, International Journal of Applied Earth Observation and Geoinformation.

A graph convolutional neural network for classification of building patterns using spatial vector data

Min Yang, Tinghua Ai, Xiongfeng Yan, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing

Jingzhong Li, Tinghua Ai, Pengcheng Liu, 2017, ISPRS Int. J. Geo Inf..

A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data

Tinghua Ai, Xiongfeng Yan, Peter van Oosterom, 2017, ISPRS Int. J. Geo Inf..

A hybrid approach to building simplification with an evaluator from a backpropagation neural network

Tinghua Ai, Xiongfeng Yan, Min Yang, 2021, Int. J. Geogr. Inf. Sci..

A graph deep learning approach for urban building grouping

X. Tong, T. Ai, Qiang Liu, 2020, Geocarto International.

Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps

Xiaohua Tong, Xiongfeng Yan, Min Yang, 2020, Int. J. Geogr. Inf. Sci..

Updating authoritative spatial data from timely sources: A multiple representation approach

Xiang Zhang, Jantien E. Stoter, Tinghua Ai, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China

Min Yang, Jingzhong Li, Tinghua Ai, 2018, IEEE Access.

A recognition method for drainage patterns using a graph convolutional network

T. Ai, Lina Huang, Jiaming Yuan, 2022, Int. J. Appl. Earth Obs. Geoinformation.

A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints

Xiongfeng Yan, Min Yang, 2023, Cartography and Geographic Information Science.

Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor

Xiongfeng Yan, Min Yang, Haoran Huang, 2022, ISPRS Int. J. Geo Inf..

Detecting interchanges in road networks using a graph convolutional network approach

T. Ai, Xiongfeng Yan, Minjun Cao, 2022, Int. J. Geogr. Inf. Sci..

Envelope generation and simplification of polylines using Delaunay triangulation

Jingzhong Li, Tinghua Ai, Min Yang, 2017, Int. J. Geogr. Inf. Sci..

Detection and correction of inconsistencies between river networks and contour data by spatial constraint knowledge

Tinghua Ai, Xiang Zhang, Min Yang, 2015 .

A shape analysis and template matching of building features by the Fourier transform method

Tinghua Ai, Pengcheng Liu, Min Yang, 2013, Comput. Environ. Urban Syst..

CONSISTENCY MATCHING IN THE INTEGRATION OF CONTOUR AND RIVER DATA BY SPATIAL KNOWLEDGE

T. Ai, Min Yang, 2012 .

A point selection method in map generalization using graph convolutional network model

T. Ai, Tianyuan Xiao, Huafei Yu, 2023, Cartography and Geographic Information Science.

A polygon aggregation method with global feature preservation using superpixel segmentation

Tinghua Ai, Yu Feng, Wende Li, 2019, Comput. Environ. Urban Syst..