| NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review K Gao, Y Gao, H He, D Lu, L Xu, J Li arXiv preprint arXiv:2210.00379, 2022 | 231 | 2022 |
| Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study L Wang, KA Scott, L Xu, DA Clausi IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4524-4533, 2016 | 221 | 2016 |
| A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery L Xu, J Li, A Brenning Remote Sensing of Environment 141, 14-23, 2014 | 175 | 2014 |
| Detecting global urban expansion over the last three decades using a fully convolutional network L He, C., Liu, Z., Gou, S., Zhang, Q., Zhang, J., & Xu Environmental Research Letters, 2018 | 167* | 2018 |
| A hybrid CNN-GRU model for predicting soil moisture in maize root zone J Yu, X Zhang, L Xu, J Dong, L Zhangzhong Agricultural Water Management 245, 106649, 2021 | 114 | 2021 |
| 3DCTN: 3D convolution-transformer network for point cloud classification D Lu, Q Xie, K Gao, L Xu, J Li IEEE Transactions on Intelligent Transportation Systems 23 (12), 24854-24865, 2022 | 87 | 2022 |
| SAR Image Denoising via Clustering-Based Principal Component Analysis L Xu, J Li, Y Shu, J Peng IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6858-6869, 2014 | 81 | 2014 |
| Transformers in 3d point clouds: A survey D Lu, Q Xie, M Wei, K Gao, L Xu, J Li arXiv preprint arXiv:2205.07417, 2022 | 77 | 2022 |
| ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation F Li, DA Clausi, L Xu, A Wong IEEE Transactions on Geoscience and Remote Sensing 56 (1), 3 - 16, 2017 | 70 | 2017 |
| Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields F Li, L Xu, P Siva, A Wong, D Clausi IEEE Journal of Selected Topics in Applied Earth observations and Remote …, 2015 | 68 | 2015 |
| Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data Y Wu, CR Duguay, L Xu Remote Sensing of Environment 253, 112206, 2021 | 64 | 2021 |
| Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach L Xu, F Li, A Wong, D Clausi IEEE Journal of Selected Topics on Applied Earth Observations and Remote …, 2015 | 48 | 2015 |
| Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast W Tan, J Li, L Xu, MA Chapman IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 45 | 2018 |
| Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data M Ghanbari, DA Clausi, L Xu, M Jiang IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7476-7491, 2019 | 41 | 2019 |
| Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland J Pu, K Yan, G Zhou, Y Lei, Y Zhu, D Guo, H Li, L Xu, Y Knyazikhin, ... Remote Sensing 12 (20), 3391, 2020 | 39 | 2020 |
| Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field L Xu, J Li IEEE Geoscience and Remote Sensing Letters 11 (4), 823 - 827, 2014 | 39 | 2014 |
| TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong Journal of Hydrology 613, 128465, 2022 | 38 | 2022 |
| A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period J Yu, S Tang, L Zhangzhong, W Zheng, L Wang, A Wong, L Xu IEEE Access 8, 199097-199110, 2020 | 36 | 2020 |
| Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation J Zhou, K Chen, L Xu, Q Dou, J Qin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31 | 2023 |
| Monitoring and Stability Analysis of the Deformation in the Woda Landslide Area in Tibet, China by the DS-InSAR Method Y Liu, H Yang, S Wang, L Xu, J Peng Remote Sensing 14 (3), 532, 2022 | 31 | 2022 |
