万瑜廷，工学博士/博士后，武汉大学测绘遥感信息工程全国重点实验室副教授，硕士生导师，入选2023年国家博士后创新人才支持计划。近年来，主持了国家自然科学基金青年项目、国家自然科学基金重大仪器研制项目专题、国家博士后创新人才支持计划、科技部重点研发子课题、博后面上基金等国家级项目。获湖北省科技进步奖一等奖、广东省工程勘察设计行业协会科学技术奖二等奖、武汉大学优秀博士后一等奖等学术奖励。在PNAS子刊PNAS Nexus、ISPRS P&RS、IEEE TGRS、IEEE TNNLS、IEEE TCYB、IEEE TEC、IEEE IoTJ、LDD等高水平期刊与会议发表学术论文40余篇（ESI高被引论文4篇），授权/申请国家发明专利7项，登记软件著作权3项，担任20余个国内外期刊的审稿人，担任应急管理部救灾司、北京市、湖南省和安徽省减灾委灾情核查评估指导组成员，研究成果积极服务了2022年至2025年间全国十大自然灾害中的5项，支撑了百亿量级的灾害损失综合评估，获应急管理部救灾司感谢信。

研究方向：围绕卫星、无人机等资源受限无人平台的遥感数据轻量化实时处理与多场景快速应用等难题，提出了 “遥感智能解译脑（RSI2_Brain）” 理论框架，创新性地设计了 “遥感数据高保真压缩⇨遥感模型精细识别⇨遥感数据实时处理⇨采集-处理-传输一体化优化集成装备” 全链路研究路线，实现了观测数据轻、识别模型准和在线处理快的成效目标，服务于全国重大自然灾害应急响应与损毁评估。主要研究方向：

    ① 遥感智能解译脑（遥感类脑计算）

    ② 高分辨率遥感影像智能优化处理

    ③ 遥感边缘计算

    ④ 通感算软硬件一体化优化集成

研究团队：RSIDEA研究组是由从事遥感方向研究的科研人员组建的一个学术研究组，学术指导为张良培教授（教育部长江学者，IEEE Fellow），负责人为钟燕飞教授（国家杰青），研究组拥有无人机高光谱/可见光/热红外、热红外高光谱、视频高光谱、百万工业级服务器等硬件设施，拥有良好的学术与科研氛围！

招生信息：欢迎遥感、计算机、电信、通信、测绘、资环、数学等相关专业的学生报考，欢迎本科生提前进组学习与交流！

（请发送个人简历至邮箱：wanyuting@whu.edu.cn）

谷歌学术个人主页：点击访问     RSIDEA团队主页：点击访问

主要研究成果（一作及通讯作者SCI论文）：

[1] Y. Wan, C. Zhang, A. Ma, Z. Chen, C. Sun, J. Wang, Z. Zheng, F. Bao, L. Zhang, Y. Zhong, "Remote sensing intelligent interpretation brain: real-time intelligent understanding of the Earth", PNAS Nexus, vol. 4, no. 6, p. pgaf182, 2025.[https://doi.org/10.1093/pnasnexus/pgaf182]【PNAS唯一子刊，遥感智能解译脑】

>>遥感数据高质量压缩<<

[1] Y. Wan, C. Chen, A. Ma, L. Zhang, X. Gong and Y. Zhong, "Adaptive Multistrategy Particle Swarm Optimization for Hyperspectral Remote Sensing Image Band Selection," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, p. 5520115, 2023. [DOI: 10.1109/TGRS.2023.3305545]【中科院一区TOP】

[2] C. Chen, Y. Wan*, A. Ma, L. Zhang and Y. Zhong, "A Decomposition-Based Multiobjective Clonal Selection Algorithm for Hyperspectral Image Feature Selection," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, p. 5541516, 2022. [DOI: 10.1109/TGRS.2022.3216685]【中科院一区TOP】

[3] Y. Wan, A. Ma, Y. Zhong, X. Hu and L. Zhang, "Multiobjective Hyperspectral Feature Selection Based on Discrete Sine Cosine Algorithm," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3601-3618, 2020. [DOI: 10.1109/TGRS.2019.2958812]【中科院一区TOP】

>>遥感数据智能解译<<

[1] X. Gong, Z. Hou, Y. Wan*, Y. Zhong, M. Zhang and K. Lv, "Multispectral and SAR Image Fusion for Multiscale Decomposition Based on Least Squares Optimization Rolling Guidance Filtering," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, p. 5401920, 2024. [DOI: 10.1109/TGRS.2024.3353868]【中科院一区TOP, ESI高被引论文】

[2] Y. Wan, A. Ma, W. He and Y. Zhong, "Accurate Multiobjective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method," IEEE Transactions on Evolutionary Computation, vol. 27, no. 1, pp. 37-51, 2023. [DOI: 10.1109/TEVC.2021.3078478]【中科院一区TOP，演化计算顶刊，ESI高被引论文】

[3] Y. Wan, A. Ma, L. Zhang and Y. Zhong, "Multiobjective Sine Cosine Algorithm for Remote Sensing Image Spatial-Spectral Clustering," IEEE Transactions on Cybernetics, vol. 52, no. 10, pp. 11172-11186, 2022. [DOI: 10.1109/TCYB.2021.3064552]【中科院一区TOP】

[4] Y. Wan, Y. Zhong, A. Ma and L. Zhang, "Multi-Objective Sparse Subspace Clustering for Hyperspectral Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2290-2307, 2020. [DOI: 10.1109/TGRS.2019.2947253]【中科院一区TOP】

[5] Y. Wan, Y. Zhong and A. Ma, "Fully Automatic Spectral–Spatial Fuzzy Clustering Using an Adaptive Multiobjective Memetic Algorithm for Multispectral Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2324-2340, 2019. [DOI: 10.1109/TGRS.2018.2872875]【中科院一区TOP】

>>遥感模型轻量化<<

[1] K. Li, Y. Wan*, A. Ma and Y. Zhong, "A lightweight multiscale and multiattention hyperspectral image classification network based on multistage search," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, Art no. 5509418, 2025. [DOI:10.1109/TGRS.2025.3553147]【中科院一区TOP】

[2] Y. Wan, Y. Zhong, A. Ma, J. Wang, and L. Zhang, "E2SCNet: Efficient multiobjective evolutionary automatic search for remote sensing image scene classification network architecture," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 6, pp. 7752-7766, 2024. [DOI:10.1109/TNNLS.2022.3220699]【中科院一区TOP】

[3] Y. Wanand Y. Zhong, "LPCN: Lightweight precise classification network for hyperspectral remote sensing imagery based on multiobjective optimization," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024. [DOI: 10.1109/TGRS.2024.3403648]【中科院一区TOP】

[4] A. Ma, Y. Wan*, Y. Zhong*, J. Wang, and L. Zhang, “SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 172, pp. 171–188, 2021. [DOI:10.1016/j.isprsjprs.2020.11.025]【中科院一区TOP, ESI高被引论文】

[5] C. Sun, X. Wang, Z. Liu, Y. Wan, L. Zhang and Y. Zhong, "SiamOHOT: A lightweight dual siamese network for onboard hyperspectral object tracking via joint spatial-spectral knowledge distillation," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-12, Art no. 5521112, 2023. [DOI:10.1109/TGRS.2023.3307052]【中科院一区TOP】

>>灾害应急应用<<

[1] Y. Wan, H. Yao, J. Liu, C. Sun, A. Ma and Y. Zhong, "Low-light and infrared multimodal remote sensing in nighttime rescue mission: a review of anomaly detection methods," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, Art no. 5403518, 2025. [DOI:10.1109/TGRS.2025.3568456]【中科院一区TOP】

[2] J. Guo, Y. Wan*, A. Ma and Y. Zhong*, “A global-local collaborative and decomposition-based multi-objective evolutionary optimization method for UAV 3-D path planning”, IEEE Internet of Things Journal, vol. 12, no. 18, pp. 38338-38351, 2025. [DOI:10.1109/JIOT.2025.3585432]【中科院二区TOP】

[3] J. Guo, Y. Wan*, A. Ma and Y. Zhong*, “Disaster-aware path planning based on reinforcement learning for post-earthquake emergency response”, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, p. 5633314 2025. [DOI:10.1109/TGRS.2025.3582106]【中科院一区TOP】

[4] Y. Wan, Y. Zhong, A. Ma, and L. Zhang, “An accurate UAV 3-D path planning method for disaster emergency response based on an improved multi-objective swarm intelligence algorithm,” IEEE Transactions on Cybernetics, vol. 53, no. 4, pp. 2658–2671, 2023. [DOI:10.1109/TCYB.2022.3170580]【中科院一区TOP, ESI高被引论文】

[5] Y. Wan, Y. Zhong, A. Ma, X. Hu, and L. Wei, “Satellite-air-ground integrated multi-source earth observation and machine learning processing brin for tailings reservoir monitoring and rapid emergency response,” Land Degradation & Development, vol. 34, no. 7, pp. 1941-1959, 2022. [DOI:10.1002/ldr.4580]【中科院二区】