刘蓉，中山大学地理科学与规划学院副教授，硕士生导师。主要研究方向为高光谱遥感图像智能化解译、进化计算、深度学习。已发表学术论文二十余篇，1篇论文入选ESI高被引论文，获批国家发明专利4项。中国图象图形学学会遥感专业委员会委员，IEEE会员。担任IEEE TGRS、TNNLS、JSTARS等期刊审稿人，获得第一届“高谱成像杯”高光谱遥感数据处理与应用大赛二等奖、第四届全国成像光谱技术与应用研讨会优秀学术报告奖、2025地理信息科技进步奖一等奖。主持国家自然科学基金青年项目，广东省面上项目，作为课题骨干参与国家自然科学基金面上项目等科研课题。

学历背景

2013-2018  武汉大学  测绘遥感信息工程国家重点实验室  工学博士

2009-2013  武汉大学  测绘学院  工学学士

工作经历

2021.10-至今  中山大学地理科学与规划学院  副教授  硕士生导师

2020.11-2021.09  慕尼黑工业大学  研究员

2018.10-2020.09  德国宇航中心  博士后

主要研究方向

高光谱遥感图像处理、海岸带遥感
混合像元分解、目标探测、分类
智能计算
机器学习、深度学习

欢迎感兴趣的同学加入！！！团队科研氛围浓厚，有国内外交流合作机会，欢迎地信/遥感/计算机/数学等专业背景的学生报考申请。

长期接收本科生到课题组开展科研训练，欢迎联系！

论文专著

一作/通讯期刊论文

  1. R. Liu, M. Zhou, J. Yang, and J. Wang, "Adaptive Smooth Adversarial Learning for Cross-Domain Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, 2025, Art no. 5529017, DOI: 10.1109/TGRS.2025.3620393.
  2. C. Lei, R. Deng*, R. Liu*, J. Li, Y. Guo, J. Yang, Z. Hua, and R. Zhang, "Advancing Multispectral Image-Derived Physics-Based Bathymetry: Multiobjective Evolutionary Computation for Shallow Water Depth Retrieval," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 23858-23878, 2025, doi: 10.1109/JSTARS.2025.3595207.
  3. J. Liang, J. Yang*, R. Liu*, Q. Liu, and P. Zhu, "Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification," IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1-5, 2025, Art no. 5507205, doi: 10.1109/LGRS.2025.3575600.
  4. J. Wu#, R. Liu#, and N. Wang, "Contrastive Learning-Based Hyperspectral Image Target Detection Using a Gated Dual-Path Network," Remote Sensing, vol. 17, no. 14, 2025, doi: 10.3390/rs17142345
  5. M. Hu, C. Wu*, R. Liu* and L. Zhang, "ACR-Net: Adaptive Correlation Refined Hyperspectral Unmixing," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, 2025, Art no. 5517315, doi: 10.1109/TGRS.2025.3581078.
  6. R. Liu, Z. Li, J. Yang*, J. Sun and Q. Liu, "Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 13950-13966, 2025, doi: 10.1109/JSTARS.2025.3571954.
  7. P. Wang, L. Xie, X. Qin, and R. Liu*, "Multiobjective multi-space collaboration model for addressing spectral variability in hyperspectral image unmixing," Applied Soft Computing, vol. 170, pp. 112679, 2025, doi: 10.1016/j.asoc.2024.112679.
  8. P. Wang, R. Liu* and L. Zhang, "MAT-Net: Multiscale Aggregation Transformer Network for Hyperspectral Unmixing," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024, Art no. 5538115, doi: 10.1109/TGRS.2024.3494795.
  9. R. Liu, J. Wu, D. Zhu* and B. Du, "Weighted Discriminative Collaborative Competitive Representation With Global Dictionary for Hyperspectral Target Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024, Art no. 5524613, doi: 10.1109/TGRS.2024.3432883.
  10. R. Liu, C. Lei, L. Xie, and X. Qin*. "A Novel Endmember Bundle Extraction Framework for Capturing Endmember Variability by Dynamic Optimization," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, 2024, Art no. 5505217, doi: 10.1109/TGRS.2024.3354046.
  11. C. Lei, R. Liu*, Y. Tian*. "Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 732-747, 2024, doi: 10.1109/JSTARS.2023.3333955.
  12. R. Liu, P. Wang, B. Du, and B. Qu. "Endmember Bundle Extraction Based on Improved Multiobjective Particle Swarm Optimization," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 5506405, doi: 10.1109/LGRS.2023.3287919.
  13. L. Chen, J. Liu*, S. Sun, W. Chen, B. Du, and R. Liu*. "An Iterative GLRT for Hyperspectral Target Detection Based on Spectral Similarity and Spatial Connectivity Characteristics," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5505811, doi: 10.1109/TGRS.2023.3252052.
  14. M. Liu, Z. Chai, H. Deng, and R. Liu*. "A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4297-4306, 2022, doi: 10.1109/JSTARS.2022.3177235.
  15. T. Yang, X. Tang and R. Liu*, "Dual temporal gated multi-graph convolution network for taxi demand prediction," Neural Computing and Applications, vol. 35, pp. 13119–13134, 2023, doi: 10.1007/s00521-021-06092-6.
  16. Q. Shi, X. Tang, T. Yang, R. Liu* and L. Zhang, "Hyperspectral Image Denoising Using a 3-D Attention Denoising Network," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 12, pp. 10348-10363, 2021, doi: 10.1109/TGRS.2020.3045273.
  17. R. Liu and X. Zhu*, "Endmember Bundle Extraction Based on Multiobjective Optimization," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8630-8645, 2021, doi: 10.1109/TGRS.2020.3037249.
  18. B. Du, Q. Wei and R. Liu*, "An Improved Quantum-Behaved Particle Swarm Optimization for Endmember Extraction," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 6003-6017, Aug. 2019, doi: 10.1109/TGRS.2019.2903875.
  19. R. Liu, L. Zhang, and B. Du, "A Novel Endmember Extraction Method for Hyperspectral Imagery Based on Quantum-Behaved Particle Swarm Optimization," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 4, pp. 1610-1631, April 2017, doi: 10.1109/JSTARS.2016.2640274.
  20. R. Liu, B. Du, and L. Zhang,"Multiobjective Optimized Endmember Extraction for Hyperspectral Image," Remote Sensing, vol. 9, no. 6, pp. 558, 2017, doi: https://doi.org/10.3390/rs9060558.
  21. R. Liu, B. Du, and L. Zhang, "Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF," Remote Sensing, vol. 8, no.6, pp. 464, 2016, doi: https://doi.org/10.3390/rs8060464.
  22. R. Liu, B. Du, and L. Zhang, "Endmember number estimation for hyperspectral imagery based on vertex component analysis," Journal of Applied Remote Sensing, vol. 8, no. 1, pp. 085093, 2014, doi: https://doi.org/10.1117/1.JRS.8.085093.

其它合作论文

  1. 梁业恒，欧阳宇纯，许敏端，邓孺孺，雷聪，徐丹，郭昱，谷钰泽，刘蓉. 水中重金属的光学参数计算方法及光谱分析——以典型铅化合物为例[J]. 光谱学与光谱分析, 2025, 45(08): 2149-2155, DOI: 10.3964/j.issn.1000-0593(2025)08-2149-07.
  2. Qin, X., Xu, B., Wang, C., Liu, L., Xie, L., Liu, R., … Chen, X. (2025). Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels. International Journal of Digital Earth, 18(1). https://doi.org/10.1080/17538947.2025.2482102
  3. C. You, N. Wang, D. Zhu, R. Liu and W. Li, "High-Resolution Remote Sensing Change Detection with Edge-Guided Feature Enhancement," IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2025.3555584.
  4. C. Lei, R. Liu, Z. Kuang, and R. Deng, "An Adaptive Unmixing Method Based on Iterative Multi-Objective Optimization for Surface Water Fraction Mapping (IMOSWFM) Using Zhuhai-1 Hyperspectral Images." Remote Sensing, Vol. 16, no.21, pp. 4038, 2024.
  5. X. Qin, Y. Huang, C. Wang, K. Jiang, L. Xie, R. Liu, X. Shi, X. Chen, B. Zhang, "A temporary soil dump settlement and landslide risk analysis using the improved small baseline subset-InSAR and continuous medium model." International Journal of Applied Earth Observation and Geoinformation, Vol. 128, pp.103760, 2024.
  6. J. Hu, R. Liu, D. Hong, A. Camero, J. Yao, M. Schneider, F. Kurz, K. Segl, and X. Zhu. "MDAS: A new multimodal benchmark dataset for remote sensing," Earth System Science Data, vol. 15, no. 1, pp. 113–131, 2023.
  7. L. Tong, B. Du, R. Liu, L. Zhang and K. C. Tan, "Hyperspectral Endmember Extraction by (μ + λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2352-2364, March 2021.
  8. L. Tong, B. Du, R. Liu and L. Zhang, "An Improved Multiobjective Discrete Particle Swarm Optimization for Hyperspectral Endmember Extraction," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 7872-7882, Jun. 2019.
  9. Q. Cheng, B. Du, L. Zhang and R. Liu, "ANSGA-III: A Multiobjective Endmember Extraction Algorithm for Hyperspectral Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 2, pp. 700-721, Feb. 2019.
  10. 张良培, 刘蓉, 杜博. 使用量子优化算法进行高光谱遥感影像处理综述[J]. 武汉大学学报·信息科学版, 2018, 43(12): 1811-1818.

会议论文

  1. J. Wang, J. Yang, and R. Liu, "Joint Multi-Scale Spatial-Spectral-Textual Features for Cross-Scene Hyperspectral Image Classification," in 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS), 2025, pp. 1-6.
  2. J. Wang and R. Liu, "Hyperspectral Unmixing via Multi-scale Representation by CNN-BiLSTM and Transformer Network," in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024, pp. 1-6.
  3. R. Liu, B. Du and L. Zhang, "Multiobjective endmember extraction for hyperspectral image," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA, 2017, pp. 1161-1164, doi: 10.1109/IGARSS.2017.8127163.

发明专利

刘蓉，杜博，张良培，张乐飞，一种高光谱图像混合像元分解算法，专利号：CN105787523B，2019.

杜博，刘蓉，张良培，张乐飞，一种基于量子粒子群算法的高光谱图像端元提取方法，专利号：CN105787957B，2018

科研项目

  • 广东省科学技术厅，面上项目，端元不确定条件下的高光谱遥感图像混合像元分解研究，2024-01-01至2026-12-31，主持。
  • 国家自然科学基金委员会, 青年科学基金项目, 62201622, 基于进化计算的光谱可变混合像元分解研究, 2023-01-01 至 2025-12-31, 主持。
  • 广州市科学技术局，广州市科技计划项目，广州市地表材质分析的高光谱图像混合像元分解研究，2023-04-01 至 2025-03-31，主持。
  • 广州市农业和社会发展科技专题重点研发计划，基于无人机多源遥感的田间表型信息解析技术及其应用, 2024B03J1266, 2024-2025, 参与。
  • 广东省基础与应用基础研究基金委员会，面上项目，基于无人机高光谱遥感的冬种马铃薯叶片养分反演研究，2023-01-01 至 2025-12-31, 参与。
  • Helmholtz AI Project, “Weakly Supervised Detection and Monitoring of Earth Surface Anomalies from Optical Satellite Image Time Series”, 2022-01-01 至 2024-12-31, 参与。
  • 国家自然科学基金委员会, 面上项目, 41871243, 量子优化理论的高光谱遥感图像端元提取与目标探测, 2019-01-01 至 2022-12-31,  参与。
  • 国家自然科学基金委员会, 青年科学基金项目, 61801336, 高光谱遥感图像超图迁移学习方法研究, 2019-01-01 至 2021-12-31, 参与。
  • 国家自然科学基金委员会, 青年科学基金项目, 61601333, 基于慢特征分析的高分辨率遥感影像场景变化检测方法研究, 2017-01-01 至 2019-12-31, 参与。