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Xiaoyan Lu (卢晓燕)
Xiaoyan Lu (卢晓燕)
The Hong Kong Polytechnic University
在 whu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
3092021
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
1692021
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
1622019
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
562021
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
412022
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
312021
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
292021
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
222021
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
202020
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
122019
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
102020
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
82022
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
62021
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
52022
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
52020
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
42023
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
32022
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
22024
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
22021
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
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