题目：Introduction to Hyperspectral Imaging: Emerging Techniques and Wide Applications
Abstract: 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.
Short Biography: 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.