Recent Development in Hyperspectral Remote Sensing —— Perspectives in Research Opportunities for Big Data Enhancement and Processing

讲座名称: Recent Development in Hyperspectral Remote Sensing —— Perspectives in Research Opportunities for Big Data Enhancement and Processing
讲座时间 2017-03-17
讲座地点 理科楼407
讲座人 Jonathan Cheung-Wai Chan
讲座内容

应数学与统计学院的邀请,比利时布鲁塞尔自由大学(Vrije Universiteit Brussel) Jonathan Cheung-Wai Chan教授将于近期访问我校,为师生做以下学术报告:

题目:Recent Development in Hyperspectral Remote Sensing —— Perspectives in Research Opportunities for Big Data Enhancement and Processing
时间:2017年3月17日(星期四)上午10:30
地点:理科楼407
报告人:Jonathan Cheung-Wai Chan
报告摘要:
Recent technological advancement has enabled acquisition of remote sensing data at increasingly high spatial resolution. HD camera from space routinely generates up to hundreds of terabytes per hour. This pushes research for high performance algorithms. While conventional multi-spectral sensors have improved their spatial resolution,    new emerging applications require high spectral content. Hyperspectral imaging is a technology to mimic spectroscopy for target identification. It is rich in spectral information with hundreds of bands. There is still no operational spaceborne hyperspectral mission with global coverage. However, this is going to change in the next 2 decades with several national and international efforts to launch new hyperspectral satellite. One disadvantage of the future hyperspectral missions is that most will opt for a 30m resolution which is too coarse for many applications. Spatial enhancement with superresolution reconstruction, pansharpening and image fusion is one of the hottest topics. Synthetic hyperspectral data, hundreds in dimension at high spatial resolution and possibly high revisiting temporal resolution, has high potential to materialize as a standard product. This short talk will brief the recent development in remote sensing, in particular future spaceborne hyperspectral missions and the pressing needs for powerful algorithms for big data handling and enhancement, the opportunities and challenges.  
 

讲座人介绍
报告人简介:
Jonathan Cheung-Wai Chan received the Ph.D. Degree from the University of Hong Kong. He held post-doc positions with the University of Maryland, working on NASA projects on machine learning for global land cover mapping;  Interuniversity Micro-Electronics Centre (IMEC), Leuven, Belgium working on European Commision projects for landmine detection with remote sensing methods. Since 2004, his research interest has been hyperspectral remote sensing and enhancement methods for spaceborne hyperspectral data. From 2013 to 2014, he received a Marie Curie fellowship at Fondazione Edmund Mach, in Trentino, Italy, to study forest science with hyperspectral and LiDAR data. He is currently a Professor in remote sensing at the Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB). He is a Visiting Professor at Warsaw University of Life Sciences (SGGW) and Northwestern Polytechnical University, Xi’An. He is a Guest Editor for a Special Issue of Remote Sensing journal: Spatial enhancement for hyperspectral data and applications.

讲座视频 暂无视频

(转载文章,请注明出处: 西安交通大学学术资源平台 http://meeting.xjtu.edu.cn)

如果您有学术信息和动态,欢迎投稿,wuxuan@mail.xjtu.edu.cn。我们将在第一时间确认并收录