唐宏 - 北京师范大学 - 地理科学学部

个人简介

教育经历 2003.03-2006.01 博士，上海交通大学，模式识别与智能系统 1998.09-2001.07 硕士，中国矿业大学，地图制图学与地理信息工程 1994.09-1998.07 学士，中国矿业大学，土地规划与利用工作经历 2016.12-至今北京师范大学地理科学学部，教授 2014.07-2016.12 北京师范大学减灾与应急管理研究院，教授 2008.05-2014.07 北京师范大学减灾与应急管理研究院，讲师、副教授 2006.03-2008.03 法国国立计算机与控制研究所(INRIA)，博士后承担课程研究生基础课：遥感图像模式识别，课程网站：https://prors.readthedocs.io/ 本科生通识课：图像模式识别，课程网站：http://ipr.readthedocs.io/ 本科生选修课：机器学习与深度学习科研项目国家自然科学基金面上项目：卷积神经网络的遥感图像时空元数据嵌入方法及应用研究，2020-2023，主持国家自然科学基金面上项目：基于层次Dirichlet过程的高分遥感图像分类方法及其应用研究，2016-2019，主持国家自然科学基金青年项目：基于概率潜语义分析模型的面向对象高分辨率遥感影像分析关键技术及其应用研究，2009-2012，主持。重要奖项 2011年入选教育部新世纪人才 2017年获北京师范大学第六届多媒体教学设计（网络课程组）比赛二等奖 2019年获地理信息科技进步特等奖“重大自然灾害评估模型与方法体现研究与应用” 2020年获北京市科技进步二等奖“遥感大数据高质量智能快速处理与分析的技术及应用”

研究领域

遥感大数据与深度学习、灾害遥感监测与灾情评估、大气环境遥感

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Liu, Z., Tang, H., Feng, L., and Lyu, S.: CBRA: The first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with Super-resolution Segmentation from Sentinel-2 imagery, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-2023-5, 2023. Jiayi Ge, Hong Tang, Naisen Yang, Yijiang Hu, Rapid identification of damaged buildings using incremental learning with transferred data from historical natural disaster cases, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 195, 2023, Pages 105-128, https://doi.org/10.1016/j.isprsjprs.2022.11.010. Naisen Yang, Haoze Shi, Hong Tang, Xin Yang, Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting, Remote Sensing of Environment, Volume 269, 2022, 112828, https://doi.org/10.1016/j.rse.2021.112828. Zeping Liu, Hong Tang and Wei Huang, "Building Outline Delineation From VHR Remote Sensing Images Using the Convolutional Recurrent Neural Network Embedded With Line Segment Information," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 4705713, doi: 10.1109/TGRS.2022.3154046. Wei Huang, Hong Tang and Penglei Xu, "OEC-RNN: Object-Oriented Delineation of Rooftops With Edges and Corners Using the Recurrent Neural Network From the Aerial Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5604912, doi: 10.1109/TGRS.2021.3076098. Naisen Yang, Hog Tang, GeoBoost: An Incremental Deep Learning Approach toward GlobalMapping of Buildings from VHR Remote Sensing Images, Remote Sensing, 2020, 12,1794; doi:10.3390/rs12111794. JinChen, Hong Tang and Wenkai Chen, Deep learning of the aftershock hysteresiseffect based on the elastic dislocation theory, Nat. Hazards Earth Syst. Sci.,20, 3117–3134, 2020 https://doi.org/10.5194/nhess-20-3117-2020. Ting Mao, Hong Tang, et al., UnsupervisedClassification of Multispectral Images Embedded With a Segmentation ofPanchromatic Images Using Localized Clusters, IEEE Transactions on Geoscienceand Remote Sensing 57(11): 8732-8744, 2019. Ting Mao, Hong Tang et al., A GeneralizedMetaphor of Chinese Restaurant Franchise to Fusing Both Panchromatic andMultispectral Images for Unsupervised Classification, IEEE Transactions onGeoscience and Remote Sensing 54(8):1-11 · April 2016. Yang Shu, Hong Tang et al., Object-BasedUnsupervised Classification of VHR Panchromatic Satellite Images by Combiningthe HDP and IBP on Multiple Scenes, IEEE Transactions on Geoscience and RemoteSensing 53(11):6148-6162 · November 2015. Hong Tang, et al., A MultiscaleLatentDirichlet Allocation Model for Object-Oriented Clustering of VHRPanchromatic Satellite Images, IEEE Transactions on Geoscience and RemoteSensing 51(3):1680-1692 · March 2013. Naisen Yang, Hong Tang, et al., DropBand:A Simple and Effective Method for Promoting the SceneClassification Accuracy ofConvolutional Neural Networks for VHR Remote SensingImagery, IEEE Geosciencesand Remote Sensing Letters, VOL. 15, NO. 2, FEBRUARY2018 Shaodan Li, Hong Tang, et. al.,Unsupervised Detection of Earthquake-Triggered Roof-Holes From UAV Images UsingJoint Colorand Shape Features, IEEE Geoscience and Remote Sensing Letters12(9):1-5 · September 2015. Li Shen, Hong Tang et al., ASemisupervised Latent Dirichlet Allocation Model for Object-BasedClassification of VHR Panchromatic Satellite Images, IEEE Geoscience and RemoteSensing Letters 11(4):863-867 · April 2014. Wenbin Yi, Hong Tang et al., AnObject-Oriented Semantic Clustering Algorithm for High-Resolution RemoteSensing Images Using the Aspect Model, IEEE Geoscience and Remote SensingLetters 8(5):522-526 · May 2011. Niu, Xiaonan, Hong Tang, and Lixin Wu."Satellite scheduling of large areal tasks for rapid response to naturaldisaster using a multi-objective genetic algorithm." International Journalof Disaster Risk Reduction 28 (2018): 813-825. Hong Tang, Nozha Boujemaa et al., Modelingloosely annotated images using both given and imagined annotations, OpticalEngineering Dec 2011. Hong Tang, Henri Maitre, Nozha Boujemaa,On the relevance of linear discriminative features, Information Sciences180(18):3422-3433 · September 2010. Hong Tang et al., Intra-dimensionalfeaturediagnosticity in the Fuzzy Feature Contrast Model, Image and VisionComputing 26(6):751-760 · June 2008. Hong Tang et al., Nonlinear discriminantmapping using the Laplacian of a graph, Pattern Recognition 1(1) · January2006.

学术兼职

"Sustainability","地理与地理信息科学"编委中国图象图形学会机器视觉专业委员会委员中国环境科学学会环境信息系统与遥感专业委员会