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李家艺
2017-06-05 10:18:10  发布者:00031513  来源:  评论:0 点击:

李家艺,1989年10月生于湖南张家界,工学博士,特聘副研究员。研究方向:遥感影像信息提取、模式识别、城市环境应用 联系方式:zjjerica@whu edu cn
个人简介 李家艺,1989年10月生于湖南张家界,工学博士,特聘副研究员。2014年,获得武汉大学学术创新奖(1%),在IGRASS数据融合大赛中,所带领团队获得分类比赛第三名。2015年,获得国家奖学金,所主持的武汉大学自主科研重点项目中期审核获得优秀奖,且获得第三届全国成像光谱对地观测学术研讨会优秀论文奖。2014年-2015年,连续两年获得IGRASS学生论文的top10(前10%)。
 
研究方向:遥感影像信息提取、模式识别、城市环境应用
联系方式:zjjerica@whu.edu.cn
教育经历 (Education) 2007-2011, B.E., Surveying and Mapping, Central South University, Changsha, China
2011-2016, PH.D, Remote Sensing, Wuhan University, Wuhan, China
职业 (Positions and Employment) 2016.07 – Present, Assistant Professor, Wuhan University
Publication List (Peer-reviewed International Journal Papers)
2017
(18) Huang Xin*, Wen Dawei, Li Jiayi, Qin Rongjun, Multi-level Monitoring of Subtle Urban Changes for the Megacities of China Using High-resolution Multi-view Satellite Imagery. Remote Sensing of Environment, 2017, 196: 56-75.
 
(17) Li Long, Huang Xin*, Li Jiayi*, Wen Dawei, Quantifying the Spatiotemporal Trends of Canopy Heat Island (CLHI) and Its Driving Factors over Wuhan, China with Satellite Remote Sensing. Remote Sensing, 2017, 9(6): 536.
 
(16) Liu Hui, Huang Xin*, Wen Dawei, Li Jiayi, The Use of Landscape Metrics and Transfer Learning to Explore Urban Villages in China. Remote Sensing, 2017, 9(4): 365.
 
(15) Zhang Tao, Huang Xin*, Wen Dawei, Li Jiayi. Urban Building Density Estimation from High-Resolution Imagery Using Multiple Features and Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. DOI: 10.1109/JSTARS.2017.2669217
 
(14) Huang Xin*, Yuan Wenliang, Li Jiayi, Zhang Liangpei, A New Building Extraction Post-processing work for High Spatial Resolution Remote Sensing Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(2): 654~668
 
2016
(13) Huang Xin, Li Qingyu, Liu Hui*, Li Jiayi*, Assessing and Improving the Accuracy of GlobeLand30 Data for Urban Area Delineation by Combining Multisource Remote Sensing Data, IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1860~1864
 
(12) Wu Bo*, Zhu Yong, Huang Xin, Li Jiayi, Generalization of Spectral Fidelity with Flexible Measures for the Sparse Representation Classification of Hyperspectral Images, International Journal of Applied Earth Observation and Geoinformation, 2016, 52: 275~283
 
(11) 张良培,李家艺*,高光谱图像稀疏信息处理综述与展望, 遥感学报. 2016(05):1091~1101
 
2015
(10) Li Jiayi, Zhang Hongyan*, Guo Min, Zhang Liangpei, Shen Huanfeng, Du Qian, Urban Classification by the Fusion of Thermal Infrared Hyperspectral and Visible Data, Photogrammetric Engineering and Remote Sensing, 2015, 81(12): 901~911
 
(9) Li Jiayi, Zhang Hongyan*, Zhang Liangpei, A Nonlinear Multiple Feature Learning Classifier for Hyperspectral Images with Limited Training Samples, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2728~2738
 
(8) Li Jiayi, Zhang Hongyan*, Zhang Liangpei, Ma Li, Hyperspectral Anomaly Detection by the Use of Background Joint Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2523~2533
 
(7) Li Jiayi, Zhang Hongyan*, Zhang Liangpei, Efficient Superpixel-Level Multitask Joint Sparse Representation for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(10): 5338~5351
 
2014
(6) Li Jiayi, Zhang Hongyan, Huang Yuancheng, Zhang Liangpei*, Hyperspectral Image Classification by Nonlocal Joint Collaborative Representation with a Locally Adaptive Dictionary, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3707~3719
 
(5) Li Jiayi, Zhang Hongyan, Zhang Liangpei*, Huang Xin, Zhang Lefei, Joint Collaborative Representation With Multitask Learning for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9): 5923~5936
 
(4) Li Jiayi, Zhang Hongyan, Zhang Liangpei*, Column-generation Kernel Nonlocal Joint Collaborative Representation for Hyperspectral Image Classification, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 94: 25~36
 
(3) Li Jiayi, Zhang Hongyan, Zhang Liangpei*, Supervised Segmentation of Very High Resolution Images by the Use of Extended Morphological Attribute Profiles and a Sparse Transform, IEEE Geoscience and Remote Sensing Letters, 2014, 11(8): 1409~1413
 
(2) Guo Min, Zhang Hongyan, Li Jiayi, Zhang Liangpei*, Shen Huanfeng, An Online Coupled Dictionary Learning Approach for Remote Sensing Image Fusion, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4): 1284~1294
 
(1) Zhang Hongyan, Li Jiayi*, Huang Yuancheng, Zhang Liangpei, A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2057~2066
专利 (Patent) 李家艺,张洪艳,张良培,基于联合稀疏表达的遥感影像多尺度面向对象分类方法,2016.05.11,中国,ZL201310628634.7
获奖 (Award) l  2014, Third place, IEEE GRSS Data Fusion Contest. (IEEE数据融合大赛季军)
l  2015,优秀学术报告奖,第三届成像光谱对地观测学术研讨会
科研项目 (Funding) l  国家重点研发计划:基于国产遥感卫星的典型要素提取技术,职责:任务负责人,2016-2021
l  武汉大学青年教师自主科研:多源高分辨率遥感影像信息深度稀疏解译, 职责:负责人,2017-2018
l  测绘局重点实验室开放基金:多源高分辨率遥感影像深度稀疏表示信息解译,职责:负责人,2016-2018

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