Jie Chen

Northwestern Polytechnical University

He is currently a professor at the Center of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University. He has conducted research at the University of Nice Sophia-Antipolis, France, and the University of Michigan, Ann Abor, USA, from 2009 to 2014. His research interests include distributed optimization, stochastic signal processing, machine learning with applications to acoustic signal processing, and image processing. Dr. Chen served as Technical Program Co-Chair of the International Workshop on Acoustic Echo and Noise Control (2016), Distinguished Lecturer of the Asia-Pacific Signal and Information Processing Association (2018–2019), and Program Co-Chair of the Intelligent Signal and Information Processing Summer School (2019) of the IEEE Signal Processing Society.

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Latest work with IntechOpen by Jie Chen

Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.

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