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题  目:其他都是多余
报告人:Dr. Sven Schroder等
时  间:2019-09-02 08:30
地  点:学术交流中心
题  目:在之后40多年的不断改进中
报告人:Jinchang Ren
时  间:2019-07-24 09:00
地  点:学术交流中心第二会议室
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海外专家系列学术报告——Introduction to Hyperspectral Imaging: Emerging Techniques and Wide Applications
  2019-07-24 Jinchang Ren
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报告题目:Introduction to Hyperspectral Imaging: Emerging Techniques and Wide Applications 

报 告 人:Jinchang Ren, University of StrathclydeReader 

会议时间:2019724日上午9:00 

会议地点:学术交流中心第二会议室 
 

个人简介

  Jinchang Ren is currently a Reader with the Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK. He received B. Eng. in Computer Software, M.Eng. in Image Processing and Pattern Recognition and EngD in Computer Vision from Northwestern Polytechnical University (NWPU), China, in 1992, 1997 and 2000, respectively. He was also awarded the PhD degree in Electronic Imaging and Media Communication from the University of Bradford, United Kingdom in 2009. Before he joined Strathclyde in Dec. 2010, he had worked in several universities in U.K. including University of Bradford, University of Surrey, Kingston University and University of Abertay, Dundee.  

  Dr. Ren has published over 260 peer-reviewed research papers in prestigious international journals and conferences, including over 150 in journals (100+ SCI cited, 20+ with IEEE). He is a Senior Member of IEEE, and Fellow of the Higher Education Academy, U.K. His research interests include: image processing and analysis, intelligent multimedia information processing; visual computing; computer vision; content-based image/video retrieval and understanding; machine learning, big data analytics, visual surveillance; motion estimation; hyperspectral imaging. He sits in the editorial board of six int. journals, including J. The Franklin Institute, IEEE JSTARS, IET Image Processing, Multidimensional Signal Processing and Systems, Int. J. Pattern Recognition and Artificial Intelligence, and Big Data Analytics. 

报告摘要 

  Benefitted from reduced cost and the overall size, hyperspectral imaging (HSI) has been an increasingly important topic in the last decade. In this topic, the concepts of will be introduced, in comparison to and linked with conventional RGB colour images. Related challenges are discussed in detail, along with the associated techniques and interesting topics for further exploration. Several key application based case studies are also presented in food/drink/ forensics/ manufacturing and remote sensing earth observation. In addition, a brief introduction to the University of Strathclyde and Glasgow will also be given to facilitate future collaborations. 

 

 

 

  

 

 

  

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