Building extraction in very high resolution remote sensing imagery using deep learning and guided filters Y Xu, L Wu, Z Xie, Z Chen Remote Sensing 10 (1), 144, 2018 | 472 | 2018 |
Road extraction from high-resolution remote sensing imagery using deep learning Y Xu, Z Xie, Y Feng, Z Chen Remote Sensing 10 (9), 1461, 2018 | 243 | 2018 |
Building extraction based on U-Net with an attention block and multiple losses M Guo, H Liu, Y Xu, Y Huang Remote Sensing 12 (9), 1400, 2020 | 126 | 2020 |
Building extraction in very high resolution imagery by dense-attention networks H Yang, P Wu, X Yao, Y Wu, B Wang, Y Xu Remote Sensing 10 (11), 1768, 2018 | 114 | 2018 |
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach S Hu, S Gao, L Wu, Y Xu, Z Zhang, H Cui, X Gong Computers, Environment and Urban Systems 87, 101619, 2021 | 108 | 2021 |
Hydrothermally altered mineral mapping using synthetic application of Sentinel-2A MSI, ASTER and Hyperion data in the Duolong area, Tibetan Plateau, China B Hu, Y Xu, B Wan, X Wu, G Yi Ore Geology Reviews 101, 384-397, 2018 | 71 | 2018 |
Quality assessment of building footprint data using a deep autoencoder network Y Xu, Z Chen, Z Xie, L Wu International Journal of Geographical Information Science 31 (10), 1929-1951, 2017 | 63 | 2017 |
DA-RoadNet: A dual-attention network for road extraction from high resolution satellite imagery J Wan, Z Xie, Y Xu, S Chen, Q Qiu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 60 | 2021 |
A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data S Hu, Z He, L Wu, L Yin, Y Xu, H Cui Computers, Environment and Urban Systems 80, 101442, 2020 | 55 | 2020 |
Me-net: a deep convolutional neural network for extracting mangrove using sentinel-2a data M Guo, Z Yu, Y Xu, Y Huang, C Li Remote Sensing 13 (7), 1292, 2021 | 47 | 2021 |
Improving urban land cover classification with combined use of sentinel-2 and sentinel-1 imagery B Hu, Y Xu, X Huang, Q Cheng, Q Ding, L Bai, Y Li ISPRS International Journal of Geo-Information 10 (8), 533, 2021 | 46 | 2021 |
TE-SAGAN: an improved generative adversarial network for remote sensing super-resolution images Y Xu, W Luo, A Hu, Z Xie, X Xie, L Tao Remote Sensing 14 (10), 2425, 2022 | 43 | 2022 |
Mineral prospectivity mapping by deep learning method in Yawan-Daqiao area, Gansu Y Xu, Z Li, Z Xie, H Cai, P Niu, H Liu Ore Geology Reviews 138, 104316, 2021 | 41 | 2021 |
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method Y Xu, B Zhou, S Jin, X Xie, Z Chen, S Hu, N He Computers, Environment and Urban Systems 95, 101807, 2022 | 38 | 2022 |
Shape similarity measurement model for holed polygons based on position graphs and Fourier descriptors Y Xu, Z Xie, Z Chen, L Wu International Journal of Geographical Information Science 31 (2), 253-279, 2017 | 38 | 2017 |
LEARD-Net: Semantic segmentation for large-scale point cloud scene Z Zeng, Y Xu, Z Xie, W Tang, J Wan, W Wu International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 34 | 2022 |
Application of a graph convolutional network with visual and semantic features to classify urban scenes Y Xu, S Jin, Z Chen, X Xie, S Hu, Z Xie International Journal of Geographical Information Science 36 (10), 2009-2034, 2022 | 34 | 2022 |
Unsupervised haze removal for high-resolution optical remote-sensing images based on improved generative adversarial networks A Hu, Z Xie, Y Xu, M Xie, L Wu, Q Qiu Remote Sensing 12 (24), 4162, 2020 | 31 | 2020 |
Multilane roads extracted from the OpenStreetMap urban road network using random forests Y Xu, Z Xie, L Wu, Z Chen Transactions in GIS 23 (2), 224-240, 2019 | 28 | 2019 |
Measuring the similarity between multipolygons using convex hulls and position graphs Y Xu, Z Xie, Z Chen, M Xie International Journal of Geographical Information Science 35 (5), 847-868, 2021 | 27 | 2021 |