| 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds Liu Fangyu, Li Shuaipeng, Zhang Liqiang, Zhou Chenghu, Ye Rongtian, Wang ... arXiv preprint arXiv:1707.06783, 2017 | 160* | 2017 |
| MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding X Qi, P Zhu, Y Wang, L Zhang, J Peng, M Wu, J Chen, X Zhao, N Zang, ... ISPRS Journal of Photogrammetry and Remote Sensing 169, 337-350, 2020 | 127 | 2020 |
| Looking outside the window: Wide-context transformer for the semantic segmentation of high-resolution remote sensing images L Ding, D Lin, S Lin, J Zhang, X Cui, Y Wang, H Tang, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 124 | 2022 |
| 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 | 107 | 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 | 96 | 2016 |
| Air pollution-induced missed abortion risk for pregnancies L Zhang, W Liu, K Hou, J Lin, C Zhou, X Tong, Z Wang, Y Wang, Y Jiang, ... Nature sustainability 2 (11), 1011-1017, 2019 | 80 | 2019 |
| A structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data Z Wang, L Zhang, T Fang, PT Mathiopoulos, H Qu, D Chen, Y Wang IEEE Transactions on Geoscience and Remote Sensing 52 (9), 5653-5669, 2014 | 75 | 2014 |
| Air pollution exposure associates with increased risk of neonatal jaundice L Zhang, W Liu, K Hou, J Lin, C Song, C Zhou, B Huang, X Tong, J Wang, ... Nature communications 10 (1), 3741, 2019 | 73 | 2019 |
| 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 | 66 | 2016 |
| Topology-enhanced urban road extraction via a geographic feature-enhanced network X Li, Y Wang, L Zhang, S Liu, J Mei, Y Li IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8819-8830, 2020 | 62 | 2020 |
| Land-use mapping for high-spatial resolution remote sensing image via deep learning: A review N Zang, Y Cao, Y Wang, B Huang, L Zhang, PT Mathiopoulos IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 59 | 2021 |
| Deep learning for multilabel remote sensing image annotation with dual-level semantic concepts P Zhu, Y Tan, L Zhang, Y Wang, J Mei, H Liu, M Wu IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4047-4060, 2020 | 48 | 2020 |
| Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification Y Wang, J Mei, L Zhang, B Zhang, A Li, Y Zheng, P Zhu IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5658 - 5672, 2018 | 40 | 2018 |
| Self-Supervised Feature Learning With CRF Embedding for Hyperspectral Image Classification Y Wang, J Mei, L Zhang, B Zhang, P Zhu, Y Li, X Li IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018 | 39 | 2018 |
| Learning a discriminative distance metric with label consistency for scene classification Y Wang, L Zhang, H Deng, J Lu, H Huang, L Zhang, J Liu, H Tang, X Xing IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4427-4440, 2017 | 33 | 2017 |
| A Gestalt rules and graph-cut-based simplification framework for urban building models Y Wang, L Zhang, PT Mathiopoulos, H Deng International Journal of Applied Earth Observation and Geoinformation 35 …, 2015 | 29 | 2015 |
| Improving maize yield prediction at the county level from 2002 to 2015 in China using a novel deep learning approach X Li, H Geng, L Zhang, S Peng, Q Xin, J Huang, X Li, S Liu, Y Wang Computers and Electronics in Agriculture 202, 107356, 2022 | 27 | 2022 |
| PSASL: Pixel-level and superpixel-level aware subspace learning for hyperspectral image classification J Mei, Y Wang, L Zhang, B Zhang, S Liu, P Zhu, Y Ren IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4278-4293, 2019 | 27 | 2019 |
| DML-GANR: Deep metric learning with generative adversarial network regularization for high spatial resolution remote sensing image retrieval Y Cao, Y Wang, J Peng, L Zhang, L Xu, K Yan, L Li IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8888-8904, 2020 | 25 | 2020 |
| Latent relationship guided stacked sparse autoencoder for hyperspectral imagery classification L Liu, Y Wang, J Peng, L Zhang, B Zhang, Y Cao IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3711-3725, 2020 | 24 | 2020 |
Liqiang ZhangBeijing Normal UniversityAdresă de e-mail confirmată pe bnu.edu.cn