海外名师大讲堂 — On hard and soft hyperspectral image classification uncertainty

讲座名称: 海外名师大讲堂 — On hard and soft hyperspectral image classification uncertainty
讲座时间 2018-06-21
讲座地点 仲英楼(理学院)B-253
讲座人 Xiuping Jia
讲座内容

海外名师大讲堂 — On hard and soft hyperspectral image classification uncertainty
报告时间: 2018年6月21日(周四) 下午14:30
报告地点: 仲英楼(理学院)B-253
报 告 人:Xiuping Jia
报告摘要: A hyperspectral imager is designed with a specified spatial resolution, which is often limited as spectral measurements are the priority. The low spatial resolution leads to a large number of mixed pixels in an image, which generates high uncertainty in hard classification, where each pixel in a hyperspectral image is labelled as one of the defined classes. Spectral unmixing techniques have been developed to map each pixel as a weighted sum of the endmember classes it contains. It offers an effective means to overcome the hardware limitation via post image processing.
Several issues in spectral unmixing techniques will be discussed in this talk, including endmember extraction, primary class data representation, and mixture modelling. The emphasis will be placed on within class spectral variation and the associated unmixing uncertainty. The concept of unmixing resolution and fuzzy assessment will be introduced and discussed.

讲座人介绍

 Xiuping Jia 博士,国际著名遥感数据分析、高光谱图像分类专家,澳大利亚新南威尔士大学工程与信息技术学院博导,哈尔滨工程大学、西安电子科技大学、中国石油大学的客座教授,中国农业信息技术工程技术研究中心兼职研究员,IEEE GRSS Symposium Award Committee主席,《遥感数字图像分析》(Springer-Verlag, 3rd(1999))第四版著者, 国际著名期刊IEEE Transactions on Geoscience and Remote Sensing 副主编, Journal of Soils and Sediments 编辑,2018年获多萝西绿色奖。主要从事遥感图像处理和空间数据分析领域的研究,发表学术论文190余篇。

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