Yongyang Xu

Orcid: 0000-0001-7421-4915

According to our database1, Yongyang Xu authored at least 40 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Multiscale Edge-Guided Network for Accurate Cultivated Land Parcel Boundary Extraction From Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Dense Dual-Branch Cross Attention Network for Semantic Segmentation of Large-Scale Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
MDC-Net: a multi-directional constrained and prior assisted neural network for wood and leaf separation from terrestrial laser scanning.
Int. J. Digit. Earth, December, 2023

Uncovering the association between traffic crashes and street-level built-environment features using street view images.
Int. J. Geogr. Inf. Sci., November, 2023

Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data.
Ann. GIS, October, 2023

NeiEA-NET: Semantic segmentation of large-scale point cloud scene via neighbor enhancement and aggregation.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023

Boundary Shape-Preserving Model for Building Mapping From High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

PointNest: Learning Deep Multiscale Nested Feature Propagation for Semantic Segmentation of 3-D Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A geometry-aware attention network for semantic segmentation of MLS point clouds.
Int. J. Geogr. Inf. Sci., 2023

Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework.
CoRR, 2023

2022
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method.
Comput. Environ. Urban Syst., 2022

Building function classification in Nanjing, China, using deep learning.
Trans. GIS, 2022

RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic Segmentation.
Remote. Sens., 2022

TE-SAGAN: An Improved Generative Adversarial Network for Remote Sensing Super-Resolution Images.
Remote. Sens., 2022

Application of a graph convolutional network with visual and semantic features to classify urban scenes.
Int. J. Geogr. Inf. Sci., 2022

Revealing intra-urban spatial structure through an exploratory analysis by combining road network abstraction model and taxi trajectory data.
CoRR, 2022

LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD.
CoRR, 2022

LEARD-Net: Semantic segmentation for large-scale point cloud scene.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach.
Comput. Environ. Urban Syst., 2021

DA-RoadNet: A Dual-Attention Network for Road Extraction From High Resolution Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Point Projection Network: A Multi-View-Based Point Completion Network with Encoder-Decoder Architecture.
Remote. Sens., 2021

DGANet: A Dilated Graph Attention-Based Network for Local Feature Extraction on 3D Point Clouds.
Remote. Sens., 2021

WSGAN: An Improved Generative Adversarial Network for Remote Sensing Image Road Network Extraction by Weakly Supervised Processing.
Remote. Sens., 2021

ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove Using Sentinel-2A Data.
Remote. Sens., 2021

Improving Urban Land Cover Classification with Combined Use of Sentinel-2 and Sentinel-1 Imagery.
ISPRS Int. J. Geo Inf., 2021

Measuring the similarity between multipolygons using convex hulls and position graphs.
Int. J. Geogr. Inf. Sci., 2021

2020
A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data.
Comput. Environ. Urban Syst., 2020

Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks.
Remote. Sens., 2020

Building Extraction Based on U-Net with an Attention Block and Multiple Losses.
Remote. Sens., 2020

Action Recognition Using High Temporal Resolution 3D Neural Network Based on Dilated Convolution.
IEEE Access, 2020

2019
Multilane roads extracted from the OpenStreetMap urban road network using random forests.
Trans. GIS, 2019

OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery.
IEEE Access, 2019

2018
Building Extraction in Very High Resolution Imagery by Dense-Attention Networks.
Remote. Sens., 2018

Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning.
Remote. Sens., 2018

Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters.
Remote. Sens., 2018

A Research on Extracting Road Network from High Resolution Remote Sensing Imagery.
Proceedings of the 26th International Conference on Geoinformatics, 2018

2017
Shape similarity measurement model for holed polygons based on position graphs and Fourier descriptors.
Int. J. Geogr. Inf. Sci., 2017

Quality assessment of building footprint data using a deep autoencoder network.
Int. J. Geogr. Inf. Sci., 2017

2015
Research on semantics of entity space similarity measure based on artificial neural networks.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014
Practice and Research on Construction of Corpus for Natural Sign Language.
Proceedings of the IEEE 12th International Conference on Dependable, 2014


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