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个人信息：
1
硕士生导师
电子邮箱：wangxinyu@whu.edu.cn
入职时间：2019-06-01
职务：副研究员
办公地点：宇航研究院106办公室
性别：男
学科： 摄影测量与遥感




个人简介

王心宇，工学博士（通信与信息系统），宇航科学与技术研究院，副研究员/硕士生导师，入选2019博士后创新人才支持计划。主要从事：高光谱遥感信息处理与应用方面的研究工作，涵盖混合分解、图像复原、目标探测与跟踪、无人机遥感处理与应用等领域。

近两年，主持承担了湖北省自然基金等项目，作为研究骨干参与国家重点研发计划、173基础加强重点项目、国家自然科学基金面上项目等项目。获测绘科技进步一等奖(2018年)，高光谱遥感影像智能处理行业应用大赛特等奖、一等奖，WHISPERS 2021 国际高光谱目标跟踪挑战赛（Hyperspectral Object Tracking Challenge）冠军等奖励。近五年，以第一或通讯作者在IEEE TGRS、ISPRS P&RS、RSE、IEEE GRSM等高水平期刊发表论文20余篇，申请国家发明专利10余项。

本人隶属于RSIDEA研究组，研究团队具备长波红外高光谱、无人机高光谱、无人机热红外、光谱暗室、视频快照式高光谱、百万工业级服务器等先进仪器与平台。欢迎遥感、计算机、电信、测绘、资环、数学等相关专业的同学保送及报考，欢迎进组学习交流！

图1 研究组仪器设备展示

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学术论文成果：
*混合分解*
Wang X, Zhong Y, Zhang L, et al. Spatial group sparsity regularized nonnegative matrix factorization for hyperspectral unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(11): 6287-6304. (SCI 二区Top，IF：5.855) (code and data)
Wang X, Zhong Y, Xu Y, et al. Saliency-based endmember detection for hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(7): 3667-3680. (SCI 二区Top，IF：5.855)
Wang X, Zhong Y, Zhang L, et al. Blind hyperspectral unmixing considering the adjacency effect[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6633-6649. (SCI 二区Top，IF：5.855)
Wang X, Zhong Y, Cui C, et al. Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(3): 2336-2351. (SCI二区Top，IF：5.855)（code and data）
Zhong Y, Wang X, Zhao L, et al. Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 119: 49-63. (SCI 一区Top，IF：7.319)
HeD. , ZhongY.,WangX. andZhang L., "Deep Convolutional Neural Network Framework for Subpixel Mapping," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.**.(SCI 二区Top，IF：5.855)
*图像复原*
Zhong Y*, Li W, Wang X*, et al. Satellite-ground integrated destriping network: A new perspective for EO-1 Hyperion and Chinese hyperspectral satellite datasets[J]. Remote Sensing of Environment, 2020, 237: 111416. (SCI 一区Top，IF：9.085) (code and data)

Wang X, Luo Z,Li W*, et al "A Self-Supervised Denoising Network for Satellite-Airborne-Ground Hyperspectral Imagery," inIEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.**. (SCI二区Top，IF：5.855)
*无人机遥感*
Zhong Y, Hu X*, Luo C, Wang X*, et al. WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF[J]. Remote Sensing of Environment, 2020, 250: 112012. (SCI 一区Top，IF：9.085) (code and data)
Zhong Y, Wang X*, Xu Y, et al. Mini-UAV-borne hyperspectral remote sensing: From observation and processing to applications[J]. IEEE Geoscience and Remote Sensing Magazine, 2018, 6(4): 46-62. (SCI，IF：13)
Hu X, Zhong Y*, Wang X*et al., "SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyperspectral Imagery With High Spatial and Spectral Resolutions," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.**. (SCI 二区Top，IF：5.855)
Zhao J, Zhong Y, Jia T, Wang X, et al. Spectral-spatial classification of hyperspectral imagery with cooperative game[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 135: 31-42. (SCI 一区Top，IF：7.319)
Hu, X., Zhong, Y., Luo, C. & Wang, X. WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification. arXiv (2020).
*目标探测与跟踪*
Wang S, Wang X*, Zhong Y, et al. Hyperspectral Anomaly Detection via Locally Enhanced Low-Rank Prior. IEEE Transactions on Geoscience and Remote Sensing, 2020. (SCI 二区Top，IF：5.855)

Zhong Y*, Xu Y, Wang X*, et al. Pipeline leakage detection for district heating systems using multisource data in mid-and high-latitude regions[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 151: 207-222. (SCI 一区Top，IF：7.319)
WangS, WangX, ZhangL andZhongY, "Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder," inIEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.**.(SCI二区Top，IF：5.855)
Wang, S., Zhong, Y., Zhao, J., Wang, X.* & Hu, X. S3CRF: Sparse Spatial-Spectral Conditional Random Field Target Detection Framework for Airborne Hyperspectral Data. IEEE Access 8, (2020).
*其他*

Zhong Y, Wang X, Wang S & Zhang L. Advances in spaceborne hyperspectral remote sensing in China, Geo-spatial Information Science, 24:1, 95-120, 2021. DOI: 10.1080/**.2020.**
Meng S.; Zhong Y.; Luo C.; Hu X.; Wang X.*; Huang S. Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China. Remote Sensing. 2020, 12, 226.(SCI 二区，IF：4.509)

Meng S.;Wang X.*;Luo C.; Hu X.; Zhong Y.Deep learning-based crop mapping in the cloudy season using one-shot hyperspectral satellite imagery,Computers and Electronics in Agriculture, 2021, Vol186, 106188, doi.org/10.1016/j.compag.2021.106188.(SCI 二区，IF：3.858)
Zhong Y, Jia T, Zhao J, Wang X, Jin S. Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery. Remote Sensing. 2017; 9(9):910, doi.org/10.3390/rs**.(SCI 二区，IF：4.509)
Zhong, Y. , Luo C., Hu X., Wei L., Wang X. et al. Cropland product fusion method based on the overall consistency difference: A case study of China. Remote Sens. 11, (2019).
*会议论文*

Xu, Y., Wang, X., Zhong, Y. & Zhang, L. Thermal anomaly detection based on saliency computation for district heating system. in International Geoscience and Remote Sensing Symposium (IGARSS) vols 2016-Novem (2016).
Wang, X., Zhong, Y., Xu, Y., Zhang, L. & Xu, Y. Saliency-based endmember detection for hyperspectral imagery. in International Geoscience and Remote Sensing Symposium (IGARSS) vols 2017-July (2017).
Zhong, Y., Wang, Xet al. MINI-UAV borne hyperspectral remote sensing: A review. in International Geoscience and Remote Sensing Symposium (IGARSS) vols 2017-July (2017).
Wang, X., Zhong, Y., Zhang, L. & Xu, Y. Blind spectral unmixing considering the adjacent effect. in International Geoscience and Remote Sensing Symposium (IGARSS) vols 2018-July (2018).

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双一流大创项目：
项目名称：食识-视频高光谱食品安全实时检测技术研究（田凯、孙晨、刘梓盈、覃宇庭、冯静怡），指导老师：马爱龙、王心宇，2020-2021.
项目名称：高空间高光谱分辨率遥感城市生态环境安全监测（陈睿、何鑫、朱增亮、漆奕泽、徐其凯），指导老师：钟燕飞、王心宇，2021-2022.




团队成员
暂无内容



工作经历
2019-6····至今

遥感信息工程学院（宇航研究院） | 武汉大学 | 在职 | 副研究员



教育经历
2014-9 to 2019.6

武汉大学 测绘遥感信息工程国家重点实验室 | 通信与信息系统 | 工学博士学位 | 博士

2010-9 to 2014.6

武汉大学 遥感信息工程学院 | 摄影测量与遥感 | 工学学士学位 | 本科



社会兼职
暂无内容

研究方向
[1].高光谱遥感信息处理与应用
[2].混合像元分解
[3].目标探测与跟踪
[4].影像质量改善
[5].无人机双高遥感处理与应用


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