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视频信息

标题:Hyperspectral Unmixing in Remote Sensing What Do Signal ProcessingPeople Learn from There
主讲人:Ken Ma 副教授(香港中文大学) 主办单位: 讲座时间:0000-00-00 00:00:00
简 介:
						

 

The aim of this talk is tooverview hyperspectral unmixing (HU) techniques from a signal processing researchers perspective. HU is one of the most prominent research topics inhyperspectral remote sensing. The problem is to identify materials and the ircorresponding compositions in a captured scene, using the high spectral degrees of freedom of hyperspectral sensors. From a signal processing viewpoint, this is a blind source separation (BSS) problem. We will review how clever insights from remote sensing researchers and recent involvements from other fields, such assignal processing, optimization and machine learning, lead to elegant HU theory and methods  which depart quite significantly from conventional BSS techniques, and in fact, give new insights to BSS theory and methods. The connections of HU toother areas, such as text mining, biomedical imaging and computer vision, may also be discussed, depending on the availability of time.