WHU-CVRS

Presentations

Title: Recent Advances in Hyperspectral Image Processing

Reporter: Prof. Jun Li, School of Geography and Planning, Sun Yat-Sen University, China

Time:  9:30AM-11:00AM, 30 March 2016

Address:3-201, Building No. 5, School of Remote Sensing and Information Engineering, Wuhan University

 

Abstract:

In this talk, we will mainly further discuss hyperspectral classification and unmixing. On the one hand, for classification, we will target on the hyperspectral classification problems, such as high dimensionality, limited training samples, and etc. On the other hand, for unmixing, which provides rich information since it considers that the pixel may be formed by the contribution of several spectrally pure substances (called endmembers) weighted by their corresponding fractional abundances in the pixel, we will focus on linear mixing model (LMM). A few algorithms, belong to the minimum volume category, will be introduced in this talk.


Biography:


Dr. Jun Li received the Geographical information system degree from Hunan Normal University in 2004, the M.Sc. degree in Remote sensing and photogrammetry from Peking University in 2007, and the Ph.D. degree in Electrical and Computer Engineering from Instituto Superior Tecnico, Technical University of Lisbon in 2011. From 2011 to 2013, she was a PostDoc Researcher with the Department of Technology of Computers and Communications, University of Extremadura, Spain. Dr. Li is currently a Professor with the School of Geography and Planning, Sun Yat-Sen University, China. She has published over 70 journal and conference papers including more than 40 SCI indexed journal papers in Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, etc. She is an Associate Editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2015-present). Her main research interests comprise remotely sensed hyperspectral image analysis, signal processing, supervised/semisupervised learning and active learning.

Presentation by Prof. Jun LI