Real-Time Progressive Hyperspectral Image Processing

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149,79 

Endmember Finding and Anomaly Detection

ISBN: 1441961860
ISBN 13: 9781441961860
Autor: Chang, Chein-I
Verlag: Springer Verlag GmbH
Umfang: xxiii, 623 S., 75 s/w Illustr., 256 farbige Illustr., 623 p. 331 illus., 256 illus. in color.
Erscheinungsdatum: 23.03.2016
Auflage: 1/2016
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 1621219 Kategorie:

Beschreibung

Autorenporträt

Chein-I Chang is a Professor with the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. His Remote Sensing Signal and Image Processing Laboratory (RSSIPL) conducts research in designing and developing signal processing algorithms for multispectral and hyperspectral imaging, medical imaging.Dr. Chang has published over 150 referred journal articles, including more than 50 papers in the IEEE Transaction on Geoscience and Remote Sensing alone and four patents with several pending on hyperspectral image processing. He authored two books, Hyperspectral Imaging: Techniques for Spectral Detection and Classification (Kluwer Academic Publishers, 2003) and Hyperspectral Data Processing: Algorithm Design and Analysis (Wiley, 2013). He also edited two books, Recent Advances in Hyperspectral Signal and Image Processing (Trasworld Research Network, India, 2006) and Hyperspectral Data Exploitation: Theory and Applications (John Wiley & Sons, 2007) and co-edited, with A. Plaza, a book on High Performance Computing in Remote Sensing (CRC Press, 2007). Dr. Chang has received his Ph.D. in Electrical Engineering from University of Maryland, College Park, Maryland. He is a Fellow of IEEE and SPIE with contributions to hyperspectral image processing.                                                                                                                                                                                                                                                                                                                                                                                                              

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