报告时间：12月14日（周四）下午3:00-4:15

报告地点：学科3号楼S410会议室

报告人：James E. Fowler 教授

主持人：刘青山 教授

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江苏省大数据分析技术重点实验室

江苏省气象能源利用与控制工程技术研究中心

江苏省大气环境与装备技术协同创新中心

信息与控制学院

2017年12月13日

Abstract: The ever-growing spatial and spectral resolution of hyperspectral imagery has increased interest in dimensionality reduction that takes place on-board the data-acquisition platform. However, traditional dimensionality-reduction algorithms are data dependent, computationally expensive, and, consequently, prohibitive for many resource-constrained airborne or satellite-borne sensor platforms. Random projections offer a means for accomplishing dimensionality reduction simultaneously with data acquisition, such that the sensor projects onto a lower-dimensional subspace chosen at random. The problem of reconstruction from random projections is addressed, considering both compressed sensing as well as an alternative based on principal components. The effect of random projections on the performance of hyperspectral analysis is also investigated, with particular focus on anomaly detection and classification. It is observed that strongly anomalous vectors are likely to be identifiable in the domain of the random projections even at low dimension, while widely separated classes are likely to remain so. Finally, the ability of applying such anomaly or class analysis in the random-projection domain is exploited to improve subsequent reconstruction of the hyperspectral dataset.

Biography:James E. Fowler is currently Billie J. Ball Professor and Graduate Program Director of the Department of Electrical and Computer Engineering at Mississippi State University, Starkville, MS. He is also an Associate Director of the D  istributed Analytics and Security Institute (DASI) as well as a researcher in the Geosystems Research Institute (GRI), both at the Mississippi State HPC2. He has held visiting professor positions in the Département Traitement du Signal et des Images at Télécom ParisTech, Paris, France, and at Polytech Nantes, Nantes, France. He held an postdoctoral research position in the Laboratoire I3S at the Université de Nice—Sophia Antipolis, Sophia Antipolis, France. He is the Editor-in-Chief of IEEE Signal Processing Letters, and was previously a Senior Area Editor for IEEE Transactions on Image Processing and previously an Associate Editor for IEEE Transactions on Computational Imaging, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, and IEEE Signal Processing Letters. He is an Associate Editor for the EURASIP Journal on Image and Video Processing. He is a member of the Publications. Board and the Conference Board of the IEEE Signal Processing Society. He was the Chair of the Image, Video, and Multidimensional Signal Processing (IMVSP) Technical Committee of the IEEE Signal Processing Society for 2012–2013, having served as also as Vice Chair and Past Chair. He is currently a member of the Computational Imaging Special Interest Group of the IEEE Signal Processing Society. He was a member of the Strategic Planning Committee of the IEEE Publication Services and Products Board in 2013. He is a Fellow of the IEEE. He was general co-chair of the 2014 IEEE International Conference on Image Processing, Paris, France. He is a member of the program committee for the Data Compression Conference.