Hyperspectral Imaging: Techniques for Spectral Detection and Classification - Couverture rigide

Chein-I Chang

Couverture rigide

ISBN 10 : 0306474832 ISBN 13 : 9780306474835

Editeur : Kluwer Academic/Plenum Publishers, 2003

Synopsis

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.

Détails de l'édition

• Éditeur: Kluwer Academic/Plenum Publishers
• Date d'édition: 2003
• Langue: anglais
• ISBN 10: 0306474832
• ISBN 13: 9780306474835
• Reliure: Relié
• Numéro d'édition: 2
• Nombre de pages: 386
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne