报告题目：Hyperspectral Computer Vision and Its Applications

报告时间：2024年5月30日  周四15：00

报告地点：信息楼133会议室

主持人：吕岳 教授

报告人：Prof. Jun Zhou  澳大利亚格里菲斯大学

Abstract

Hyperspectral imagery contains rich information on the spectral and spatial distribution of object materials in a scene. Traditional hyperspectral remote sensing methods mainly focus on pixel level spectral analysis. On the contrary, computer vision has discovered color, texture, and various spatial and structural features of objects, but not spectral information. It is necessary to bridge the gap between spectral and spatial analysis in order to invent new tools for effective image analysis and understanding. This talk gives an overview of hyperspectral imaging technology and material based spectral-spatial analysis techniques, and how they can be used to address challenges in computer vision tasks. Several case studies in object detection, image classification and video tracking will be presented in this talk.

Bio

Jun Zhou is a professor in the School of Information and Communication Technology at Griffith University, Australia. He received the B.S. degree in computer science and the B.E. degree in international business from Nanjing University of Science and Technology, China, in 1996 and 1998, respectively. He received the M.S. degree in computer science from Concordia University, Canada, in 2002, and the Ph.D. degree from the University of Alberta, Canada, in 2006. Before joining Griffith University, he had been a research fellow in the Research School of Computer Science at the Australian National University and a researcher in the Canberra Research Laboratory, NICTA, Australia. He was awarded the Australian Research Council Discovery Early Career Researcher Award in 2012. His research interests include pattern recognition, hyperspectral imaging and computer vision with their applications to remote sensing, environment, agriculture and medicine. He has published more than 200 papers in leading image processing and remote sensing venues, such as IEEE TIP, IEEE TGRS, PR, AAAI, IJCAI, CVPR, and ICCV, which have attracted more than 10,000 citations. He is the president of the Australian Pattern Recognition Society, and an associate editor of 5 international journals, including IEEE TGRS and Pattern Recognition.