Statistical Hyperspectral Target And Anomaly Detection: Signal And Image Processing Perspectives

Name: Statistical Hyperspectral Target And Anomaly Detection: Signal And Image Processing Perspectives
Brand: Wiley-IEEE Press
SKU: 9781394202829
Price: 14535.0 INR
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by Chein-I Chang

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ISBN13: 9781394202829
Binding: Hardcover
Subject: N/A
Publisher: Wiley-IEEE Press
Publisher Imprint: Wiley-IEEE Press
Publication Date: September 15, 2026
Pages: 800
Original Price: USD 154.95
Language: English
Edition: N/A
Item Weight: 896 grams
BISAC Subject(s): Imaging Systems

About The Book

Comprehensive reference on hyperspectral target and anomaly detection discussing general theory and the latest HSI technological developments

Hyperspectral Target and Anomaly Detection provides detailed information on the evolution of general theory of hyperspectral target detection and anomaly detection from the past two decades, covering advanced HSI technologies that have been developed in hyperspectral data exploitation such as various new versions of OSP, CEM, and VD. This book pays special focus to statistical signal processing approaches in hyperspectral target and anomaly detection.

Hyperspectral Target and Anomaly Detection discusses topics including:

Fundamental principles for hyperspectral imaging, including the hyperspectral binary communication channel and applications of the pigeon-hole and orthogonality principles
Passive anomaly detection, covering endmember finding and target-to-anomaly deletion conversions
Matrix decomposition models, including low-rank and sparse subspace decomposition, background-anomaly decomposition analysis, and rank estimation for model orders
Pure-pixel, constrained energy minimization subpixel, and background-annihilated TCIMF target detection
Statistical hyperspectral image classification, covering multiple hypothesis testing, CEM-based and LCMX-based classifiers, confusion matrices, and 3D ROC analysis

Hyperspectral Target and Anomaly Detection is a unique and up-to-date reference on the subject for students in electrical engineering and computer science as well as professionals and researchers in the fields of remote sensing, photogrammetry, geology, and forestry.

About The Author

Dr. Chein-I Chang 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 also currently holding Chang Jiang Scholar Chair Professorship at the Ministry of Education in China and has been the director of Center for Hyperspectral Imaging in Remote Sensing (CHIRS) at Dalian Maritime University, Dalian, China since 2016.

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