| Urban land use and land cover classification using novel deep learning models based on high spatial resolution satellite imagery P Zhang, Y Ke, Z Zhang, M Wang, P Li, S Zhang Sensors 18 (11), 3717, 2018 | 180 | 2018 |
| A multilevel point-cluster-based discriminative feature for ALS point cloud classification Z Zhang, L Zhang, X Tong, PT Mathiopoulos, B Guo, X Huang, Z Wang, ... IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3309-3321, 2016 | 101 | 2016 |
| A three-layered graph-based learning approach for remote sensing image retrieval Y Wang, L Zhang, X Tong, L Zhang, Z Zhang, H Liu, X Xing, ... IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6020-6034, 2016 | 93 | 2016 |
| A three-step approach for TLS point cloud classification Z Li, L Zhang, X Tong, B Du, Y Wang, L Zhang, Z Zhang, H Liu, J Mei, ... IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5412-5424, 2016 | 57 | 2016 |
| Multilevel building detection framework in remote sensing images based on convolutional neural networks Y Liu, Z Zhang, R Zhong, D Chen, Y Ke, J Peethambaran, C Chen, L Sun IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 43 | 2018 |
| An image-based hierarchical deep learning framework for coal and gangue detection D Li, Z Zhang, Z Xu, L Xu, G Meng, Z Li, S Chen IEEE Access 7, 184686-184699, 2019 | 42 | 2019 |
| Discriminative-dictionary-learning-based multilevel point-cluster features for ALS point-cloud classification Z Zhang, L Zhang, X Tong, B Guo, L Zhang, X Xing IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7309-7322, 2016 | 42 | 2016 |
| Classification of urban point clouds: A robust supervised approach with automatically generating training data Z Li, L Zhang, R Zhong, T Fang, L Zhang, Z Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 41 | 2016 |
| 3-D deep feature construction for mobile laser scanning point cloud registration Z Zhang, L Sun, R Zhong, D Chen, Z Xu, C Wang, CZ Qin, H Sun, R Li IEEE Geoscience and Remote Sensing Letters 16 (12), 1904-1908, 2019 | 37 | 2019 |
| A flexible architecture for extracting metro tunnel cross sections from terrestrial laser scanning point clouds Z Cao, D Chen, Y Shi, Z Zhang, F Jin, T Yun, S Xu, Z Kang, L Zhang Remote Sensing 11 (3), 297, 2019 | 37 | 2019 |
| A dense feature pyramid network-based deep learning model for road marking instance segmentation using MLS point clouds S Chen, Z Zhang, R Zhong, L Zhang, H Ma, L Liu IEEE Transactions on Geoscience and Remote Sensing 59 (1), 784-800, 2020 | 33 | 2020 |
| Analysis of the spatiotemporal variation in land subsidence on the Beijing Plain, China L Guo, H Gong, F Zhu, L Zhu, Z Zhang, C Zhou, M Gao, Y Sun Remote Sensing 11 (10), 1170, 2019 | 29 | 2019 |
| Identification of species by combining molecular and morphological data using convolutional neural networks B Yang, Z Zhang, CQ Yang, Y Wang, MC Orr, H Wang, AB Zhang Systematic Biology 71 (3), 690-705, 2022 | 28 | 2022 |
| Multiscale sparse features embedded 4-points congruent sets for global registration of TLS point clouds Z Xu, E Xu, Z Zhang, L Wu IEEE Geoscience and Remote Sensing Letters 16 (2), 286-290, 2018 | 28 | 2018 |
| DenseKPNET: Dense kernel point convolutional neural networks for point cloud semantic segmentation Y Li, X Li, Z Zhang, F Shuang, Q Lin, J Jiang IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 27 | 2022 |
| Use of active learning for earthquake damage mapping from UAV photogrammetric point clouds Z Xu, L Wu, Z Zhang International journal of remote sensing 39 (15-16), 5568-5595, 2018 | 25 | 2018 |
| Understanding uneven land subsidence in Beijing, China, using a novel combination of geophysical prospecting and InSAR L Guo, H Gong, J Li, L Zhu, A Xue, L Liao, Y Sun, Y Li, Z Zhang, L Hu, ... Geophysical Research Letters 47 (16), e2020GL088676, 2020 | 24 | 2020 |
| Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds Y Wang, Z Zhang, R Zhong, L Sun, S Leng, Q Wang ISPRS Journal of Photogrammetry and Remote Sensing 182, 67-77, 2021 | 19 | 2021 |
| Hierarchical aggregated deep features for ALS point cloud classification Z Zhang, L Sun, R Zhong, D Chen, L Zhang, X Li, Q Wang, S Chen IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1686-1699, 2020 | 17 | 2020 |
| Joint discriminative dictionary and classifier learning for ALS point cloud classification Z Zhang, L Zhang, Y Tan, L Zhang, F Liu, R Zhong IEEE Transactions on Geoscience and Remote Sensing 56 (1), 524-538, 2017 | 16 | 2017 |
Liqiang ZhangBeijing Normal UniversityVerified email at bnu.edu.cn
