Prof. Wing-Kin (Ken) Ma, Dept. of Electronic Engineering, The Chinese University of Hong Kong, to speak at ECE-NTUA on June 15, 2023, at 11:30 (Conference Hall, New ECE Building, ground floor)
Title: Hyperspectral Unmixing: Insights and Beyond
Abstract: Hyperspectral unmixing (HU) is a key topic in hyperspectral remote sensing. The problem is to leverage the high spectral resolution of hyperspectral images to identify the materials and their corresponding compositions in the scene. Early HU research is based on smart intuitions from remote sensing, and recent involvements from other fields—such as signal processing, optimization and machine learning—have enriched the HU techniques substantially. In this talk we will use the signal processing lens to reveal the fundamental insights of HU, namely, those arising from convex geometry. We will see how such insights establish a unique branch of powerful simplex-structured matrix factorization techniques. We will also examine the connections between HU and a number of problems in blind source separation, machine learning, data science, computer vision and biomedical imaging.
Bio: Wing-Kin (Ken) Ma is a Professor with the Department of Electronic Engineering, The Chinese University of Hong Kong. His research interests include signal processing, optimization, related topics in machine learning and data science, and communications. Dr. Ma has rich editorial experience, previously serving as editor of a number of important signal processing journals and in various capacities. He is now the Editor-in-Chief of IEEE Transactions on Signal Processing. He was the recipient of the CUHK Research Excellence Award 2013–2014, the 2015 IEEE Signal Processing Magazine Best Paper Award, the 2016 IEEE Signal Processing Letters Best Paper Award, and the 2018 IEEE Signal Processing Society (SPS) Best Paper Award. He was a TC member of two SPS technical committees, an IEEE SPS Distinguished Lecturer (2018—2019), and the SPS Regional Director-at-Large (2000—2021, Region 10).