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梅少辉
2018-06-20 17:48   审核人:

   
 

梅少辉,信息工程系副主任19842月生,陕西省户县人,博士,副教授。20019月考入西北工业大学教改班,20057月获得西北工业大学电子信息工程专业工学学士学位,同年9月免试攻读硕士学位,20069月提前攻读博士学位,并于201212月获得西北工业大学工学博士学位。在读博士期间,于200710月至200810月受国家留学基金委资助赴澳大利亚悉尼大学联合培养博士研究生研究。201110月电子信息学院电子信息工程系参加工作,历任讲师、副教授。      

现任美国电气和电子工程师协会(IEEE)及其地球科学与遥感分会会员,陕西省电子学会信号与信息处理专委会秘书,国际期刊IEEE TIP IEEE TGRSIEEE TCYIEEE TIE等多个期刊审稿人      

  主要从事遥感图像获取与处理、人工智能与机器学习以及视频总结等方面的工作,近年来主持国家自然科学基金、国家863计划课题等课题10多项,与航天一院、八院、中电20所、中航631等多家单位建立合作研究关系,享受陕西省“三秦人才”津贴,获国家高技术发展计划(863计划)“十二五”科技攻关青年创新之星,2010年教育部、国务院学位委员会博士研究生学术新人奖、2014陕西省优秀博士论文、2012陕西省科技进步二等奖(排名第6)、国防科工委科技进步三等奖(排名第7)等多项奖励,并先后入选西北工业大学“翱翔之星”计划,“翱翔新星”计划;发表高水平论文50多篇,其中SCI二区以上论文10多篇,申请专利10多项,授权3项。

 

代表论文:


[1]. Shaohui Mei, Junhui Hou, Jie Chen, Lap-Pui Chau, Qian Du. Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, DOI: 10.1109/TGRS.2017.2785359.

[2]. Shaohui Mei, Xin Yuan, Jingyu Ji, and et al. Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network[J]. Remote Sensing, 2017, 9(11):1139. (Code: https://github.com/MeiShaohui/Hyperspectral-Image-Spatial-Super-Resolution-via-3D-Full-Convolutional-Neural-Network.).

[3]. Shaohui Mei, Jingyu Ji, Junhui Hou, and et al. Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks. IEEE Transaction on Geoscience and Remote Sensing, 2017, DOI: 10..1109/TGRS.2017.2693346. (Code: https://github.com/MeiShaohui/Sensor-Specific-Hyperspectral-Image-Feature-Learning.)

[4]. Shaohui Mei, Qianqian Bi, Jingyu Ji, and et al. Hyperspectral Image Classification by Exploring Low-rank Property in both Spectral-Spatial Domain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6):2910-2921.

[5]. Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, and Qian Du. Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis. IEEE Geoscience and Remote Sensing Letters, 2016, 13(6): 796-800.

[6]. Shaohui Mei, Qian Du, Mingyi He. Equivalent-sparse Unmixing through Spatial and Spectral Constrained Endmember Selection from An Image-derived Spectral Library.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2665-2675.

[7]. Shaohui Mei, Genliang Guan, Zhiyong Wang, and ea al. Video summarization via minimum sparse reconstruction. Pattern Recognition, 2015, 48(2): 522-533.

[8].Shaohui Mei, Mingyi HE, Zhiyong Wang, David Feng. Unsupervised Spectral Mixture Analysis of Highly Mixed Data with Hopfield Neural Network.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 1922-1935.

[9].Shaohui Mei, Mingyi He, Zhiming Shen. Optimizing Hopfield Neural Network for Spectral Mixture Unmixing on GPU Platform.IEEE Geoscience and Remote Sensing Letters, 201411(4): 818-812.

[10].Mohamed Bendoumi, Mingyi He, Shaohui Mei.Hyperspectral Image Resolution Enhancement Using High Resolution Multispectral Image Based on Spectral Unmixing.IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10): 6574-6583.

[11].Genliang Guan, Zhiyong Wang, Shaohui Mei, Max Ott, Mingyi He, Dagan Feng.A Top-down Approach for Video Summarization. ACM Transactions on Multimedia Computing Communications & Applications, 2014, 11(1): 4.

[12].Shaohui Mei, Mingyi HE, Yifan Zhang, Zhiyong Wang, David Feng. Improving Spatial-Spectral Endmember Extraction in the Presence of Anomalous Ground Objects.IEEE Transaction on Geoscience and Remote Sensing, 2011, 49(11): 4210-4222.

[13]. Shaohui Mei, Mingyi HE, Zhiyong Wang, David Feng. Spatial Purity Based Endmember Extraction for Spectral Mixture Analysis.IEEE Transaction on Geoscience and Remote Sensing, 2010, 48(9): 3434-3445.

[14].Shaohui Mei, Mingyi HE, Zhiyong Wang, David Feng. Mixture Analysis by Multichannel Hopfield Neural Network.IEEE Geoscience and Remote Sensing Letters, 2010, 7(3): 455-459.

 

个人主页:http://teacher.nwpu.edu.cn/meishaohui.html

 
 

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