Remote Sensing Signal and Image Processing Laboratory
Department of Computer Science and Electrical Engineering
University of Maryland, Baltimore County (UMBC)

Department of Electrical Engineering
National Cheng Kung University, Taiwan

Chein-I Chang

"Fundamental Principles behind Hyperspectral Imaging"

Abstract

  Hyperspectral imaging (HSI) has emerged as an advanced remote sensing technology which can solve many problems that cannot be resolved by multispectral imaging (MSI). This talk explores two fundamental principles, pigeon-hole principle (PP) arising in computer science and orthogonality principle (OP) in statistical signal processing, both of which play key roles in designing hyperspectral imaging algorithms from statistical signal processing perspectives.

Biography

  Chein-I Chang received Ph.D. degree in electrical engineering from the University of Maryland, College Park and has been with the University of Maryland, Baltimore County (UMBC), since 1987 and is currently a Professor in the Department of Computer Science and Electrical Engineering. He is a Chang Jiang Scholar Chair Professor and the director of the Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information and Technology College, Dalian Maritime University, Dalian 116026, China the director of Center for Hyperspectral Imaging in Remote Sensing (CHIRS) at Dalian Maritime University. In addition, Dr. Chang is a Yushan Scholar Visiting Chair Professor at National Cheng Kung University and visiting chair professor of National Yangmin Chiao Tung University. Dr. Chang authored four books, Hyperspectral Imaging: Techniques for Spectral Detection and Classification published by Kluwer Academic Publishers in 2003 and Hyperspectral Data Processing: Algorithm Design and Analysis, John Wiley & Sons, 2013, Real Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection 2016 by Springer and Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation, Springer 2017 and a fifth forthcoming book, Hyperspectral Target and Anomaly Detection from Statistical Signal and Image Processing Perspectives, Wily, 2024. In addition, he also edited three books, Recent Advances in Hyperspectral Signal and Image Processing, 2006, Hyperspectral Data Exploitation: Theory and Applications, John Wiley & Sons, 2007 and Advances in Hyperspectral Image Processing Techniques, Wiley, 2023 and co-edited with A. Plaza a book on High Performance Computing in Remote Sensing, CRC Press, 2007.

Dr. Chang is a Life Fellow of IEEE and a Fellow of SPIE. He is currently an associate editor for Remote Sensing and IEEE Transaction on Geoscience and Remote Sensing.