国家青年千人中山大学李军教授学术报告

来源:信息科学与技术学院  作者:李恒超  日期:2017-05-10  点击数:431

讲座时间:20170513日(星期六) 上午09:30

讲座地点:犀浦校区九教9521#

主  讲  人:李军教授(青年千人) 中山大学地理科学与规划学院

主  持  人:信息科学与技术学院  李恒超教授

讲座题目(Title)Research Advances In Hyperspectral Remote Sensing

内容简介(Abstract)

In this talk, we will mainly further discuss hyperspectral classification and unmixing in more detail. 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.

主讲人简介(Biography)

李军,女,中山大学地理科学与规划学院教授,博士生导师,国家青年千人计划入选者,已在国内外领域发表文章约60篇,多篇论文被ESI高被引收录。IEEE 高级会员,应邀担任IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing副编辑(2015-至今)SPIE遥感:高性能计算联合主席(2015年至今),还是中国广州遥感图像分析多传感器数据融合国际研讨会主席(2014),为IEEE TGRSIEEE JSTARSIEEE GRSLIEEE SPMIEEE TSP, IEEE TIP, IEEE TITIEEE期刊审稿人。电子邮件:lijun48@mail2.sysu.edu.cn 个人主页:http://www.lx.it.pt/~jun/


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主办:研究生院

                                                                                                  承办:信息科学与技术学院