LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation J Wang, Z Zheng, A Ma, X Lu, Y Zhong NeurIPS 2021 Datasets and Benchmarks Track, 2021 | 309 | 2021 |
A global context-aware and batch-independent network for road extraction from VHR satellite imagery Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu, L Zhang, D Li ISPRS Journal of Photogrammetry and Remote Sensing 175, 353-365, 2021 | 169 | 2021 |
Multi-scale and multi-task deep learning framework for automatic road extraction X Lu, Y Zhong, Z Zheng, Y Liu, J Zhao, A Ma, J Yang IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9362-9377, 2019 | 162 | 2019 |
GAMSNet: Globally aware road detection network with multi-scale residual learning X Lu, Y Zhong, Z Zheng, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 175, 340-352, 2021 | 56 | 2021 |
Cascaded multi-task road extraction network for road surface, centerline, and edge extraction X Lu, Y Zhong, Z Zheng, D Chen, Y Su, A Ma, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 41 | 2022 |
Urban road mapping based on an end-to-end road vectorization mapping network framework D Chen, Y Zhong, Z Zheng, A Ma, X Lu ISPRS Journal of Photogrammetry and Remote Sensing 178, 345-365, 2021 | 31 | 2021 |
Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery X Lu, Y Zhong, Z Zheng, J Wang ISPRS Journal of Photogrammetry and Remote Sensing 180, 296-312, 2021 | 29 | 2021 |
Intelligent difficulty scoring and assistance system for endoscopic extraction of common bile duct stones based on deep learning: multicenter study L Huang, X Lu, X Huang, X Zou, L Wu, Z Zhou, D Wu, D Tang, D Chen, ... Endoscopy 53 (05), 491-498, 2021 | 22 | 2021 |
COLOR: cycling, offline learning, and online representation framework for airport and airplane detection using GF-2 satellite images Y Zhong, Z Zheng, A Ma, X Lu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8438-8449, 2020 | 20 | 2020 |
Multi-scale enhanced deep network for road detection X Lu, Y Zhong, J Zhao IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 12 | 2019 |
Edge-reinforced convolutional neural network for road detection in very-high-resolution remote sensing imagery X Lu, Y Zhong, Z Zheng, J Zhao, L Zhang Photogrammetric Engineering & Remote Sensing 86 (3), 153-160, 2020 | 10 | 2020 |
Open-source data-driven cross-domain road detection from very high resolution remote sensing imagery X Lu, Y Zhong, L Zhang IEEE Transactions on Image Processing 31, 6847-6862, 2022 | 8 | 2022 |
Batch-independent Network for road extraction from VHR satellite imagery., 2021, 175 Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu, L Zhang, ... DOI: https://doi. org/10.1016/j. isprsjprs 16, 353-365, 2021 | 6 | 2021 |
Gre and beyond: A global road extraction dataset X Lu, Y Zhong, Z Zheng, D Chen IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 5 | 2022 |
A novel global-aware deep network for road detection of very high resolution remote sensing imagery X Lu, Y Zhong, Z Zheng IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
面向高分辨率遥感影像大范围道路提取的深度学习方法研究 卢晓燕 武汉大学学报 (信息科学版) 48 (5), 821-821, 2023 | 4 | 2023 |
Spatio-temporal dual-branch network with predictive feature learning for satellite video object segmentation Y Zhong, M Shu, Z Liu, X Lu IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 3 | 2022 |
Occlusion-aware road extraction network for high-resolution remote sensing imagery R Yang, Y Zhong, Y Liu, X Lu, L Zhang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 2 | 2024 |
A Nov Al Global-Local Adversarial Network for Unsupervised Cross-Domain Road Detection X Lu, Y Zhong 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2775 …, 2021 | 2 | 2021 |
Multi-LoRA Fine-Tuned Segment Anything Model for Urban Man-Made Object Extraction X Lu, Q Weng IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |