一、报告题目：Research perspectives for enhancement of Earth Observation satellite images – the challenges of marine plastic
二、报 告 人：Dr. Jonathan Cheung-Wai Chan
三、主 持 人：赵永强 教授
四、报告时间：2023年11月14日（周二）上午10:00
五、报告地点：bwin必赢327会议室
六、报告简介：
Image enhancement of satellite images refers to increased capacity and exploitation of one or multiple images of the same scene. The output image(s) will have higher potential uses due to extended configuration in spatial-spectral, or even temporal dimensions. Plastic is an important material indispensable in every aspect of our daily life. Significant international efforts to motivate remote sensing research for marine plastic started since about 2017-18. The subject matter is most suitable for spatial and spectral enhancement as high resolution (submeter) full stretch hyperspectral data needed for plastic characterization do not exist, and will not exist in next decades. In this talk, I will use marine plastic as an example of ultimate challenge for image enhancement research in the next decades. Spatial and spectral enhancement methods will continue to be highly sought after and exciting. Note that anything involves water is thousandfold more challenging. We need to systematically verify various aspects of the enhanced products at demo level with adequate training data and groundtruth. Without which, enhancement research will be kept at bay, difficult to be diffused to societal benefits.
七、报告人简历：
Jonathan Cheung-Wai Chan received the Ph.D. Degree from the University of Hong Kong in 1999. After that, he was a research scientist with the Department of Geography, University of Maryland, at College Park, Maryland USA. From 2001 to 2005, he was with the Interuniversity Micro-Electronics Centre (IMEC), Leuven, Belgium. From 2005 to 2011, he was with the Department of Geography at Vrije Universiteit Brussel (VUB), Brussels, Belgium. From 2013 to 2014, he was a Marie Curie fellow at Fondazione Edmund Mach (FEM), Italy. He is currently a Guest Professor at the Department of Electronics and Informatics (ETRO), VUB. His research interests include land cover classification, machine learning algorithms, spectral and spatial enhancement for hyperspectral satellite images.
He has served as a regular Technical Committee member for IEEE International Geoscience and Remote Sensing Symposium. He is the Editor of Remote Sensing, and the Guest Editor of Remote Sensing, for the Special Issues: Spatial Enhancement of Hyperspectral Data and Applications. Deep Learning and Data Mining for Hyperspectral Imagery.
