报告人：任金昌 教授（罗伯特戈登大学）

报告时间：2024年10月18日上午10:00

报告地点：大学城校区 工学一号馆201室

主持人：杨志景 教授

报告摘要：

Considering the limitations of single modal fusion, such as noise sensitivity of optical sensors and low spatial resolution in thermal and SAR, multimodal fusion has become a trend in recent years. In this talk, various application scenarios are highlighted for integration of different sensors including multispectral (MSI), synthetic aperture radar (SAR), thermal images, colour images, hyperspectral images (HSI), and even depth images in 3D. Within these applications, both conventional methods and deep learning models are adopted according to the application – specific requirements. This has demonstrated the efficacy of multimodal fusion in tackling different challenges. Finally, the future trends are also discussed to facilitate new areas of R&D.

个人简介：

Jinchang Ren received his B. Eng. degree in computer software, M.Eng. in image processing, and D. Eng. in computer vision, all from Northwestern Polytechnical University, Xi’an, China. He was also awarded a Ph.D. degree in Electronic Imaging and Media Communication from the University of Bradford, Bradford, U.K.

Currently he is a full Professor of Computing Sciences, Transparent Ocean Lead, and Director of the Hyperspectral Imaging Lab at the National Subsea Centre (NSC), School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, U.K. He is also a conjunct Professor with Guangdong Polytechnic Normal University, Guangzhou, China.

Dr. Ren is a Senior Member of IEEE. His research interests focus mainly on hyperspectral imaging, image processing, computer vision, big data analytics and machine learning. He has published over 400 peer reviewed journal/conferences articles, and acts as an Associate Editor for several international journals including IEEE TGRS and J. of the Franklin Institute et al. He was included in the world top 2% highly cited researchers in the consecutive 5 years in 2020-2024. He has also chaired and co-chaired a number of conferences and workshops. His students have received many awards, including the Best PhD thesis from IET Image and Vision Section and various conferences/workshops.