Dr. Chein-I Chang, professor of computer science and electrical engineering at UMBC, will publish his fifth book on hyperspectral imaging in early 2026.
The book is the first of its kind in deriving a unified statistical treatment of hyperspectral target and anomaly detection from signal and image processing perspectives. It goes from the early detection-theory chapters through the matrix-decomposition methods, effective anomaly space-based anomaly detection, and concludes applications of statistical detection theory to hyperspectral image classification at the end. The entire book centers main concepts of hypothesis testing, signal-to-noise ratio, target detectability, background suppression to provide coherent chapters which can be closely related to one another. It is quite different from many other existing hyperspectral or statistical signal-processing texts in the sense that it offers readers who care about a rigorous, detection-theoretic treatment and want to see a coherent research line developed in the book with great details. Moreover, it is unusually strong in building a unified statistical framework for hyperspectral target and anomaly detection and hyperspectral image classification and further develops a broad spectrum of various methods inside the framework.
The book is organized by five parts made up of 21 chapters and 5 appendices starting from hypothesis testing-based detection theory and matrix decompositions followed by a progression from hyperspectral target detection, hyperspectral anomaly detection and hyperspectral image classification.
Chein-I Chang received the Ph.D. degree in electrical engineering from the University of Maryland, College Park, USA. Dr. Chang is currently a professor with the University of Maryland, Baltimore County (UMBC). He has been a Chang Jiang Scholar Chair Professor awarded by Ministry of Education, China since 2016 and also a Yushan Scholar Chair Professor awarded by Ministry of Education, Taiwan at National Cheng Kung University from 2022-2028, a Life-time Chair Professor of National Yang Ming Chiao Tung University, Hsinchu, Taiwan since 2025. Dr. Chang has been also the director of Center for Hyperspectral Imaging in Remote Sensing (CHIRS) at Dalian Maritime University, Dalian, China since 2016.
Dr. Chang authored four books, Hyperspectral Imaging: Techniques for Spectral Detection and Classification published by Kluwer Academic Publishers, 2003, Hyperspectral Data Processing: Algorithm Design and Analysis, John Wiley & Sons, 2013, Real Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection published by Springer, 2016, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation, published by Springer, 2017. In addition, Dr. Chang also edited three books, Recent Advances in Hyperspectral Signal and Image Processing published by Trivandrum, Kerala, India, 2006, Hyperspectral Data Exploitation: Theory and Applications, published by John Wiley & Sons, 2007, Advances in Hyperspectral Image Processing Techniques, published by Wiley, 2023. Besides, he also co-edited with A. Plaza a book on High Performance Computing in Remote Sensing, published by CRC Press, 2007 and two special issue books from MDPI.
Dr. Chang is a Life Fellow, (Institute of Electrical and Electronics Engineers), a Fellow of SPIE (Society for Photo-optical Instrumentation Engineers) and a Fellow of AAIA (Asia-Pacific Artificial Intelligence Association). He is currently serving as associate editor of Remote Sensing and IEEE Transaction on Geoscience and Remote Sensing.