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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.
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- PublisherSpringer
- Publication date2003
- ISBN 10 0306474832
- ISBN 13 9780306474835
- BindingHardcover
- LanguageEnglish
- Number of pages386
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Hyperspectral Imaging Techniques for Spectral Detection and Classification
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Kluwer Academic / Plenum, 2003
ISBN 10: 0306474832
ISBN 13: 9780306474835
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Hyperspectral Imaging: Techniques for Spectral Detection and Clas
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Hyperspectral Imaging
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, Baltim. Seller Inventory # 5903523
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Hyperspectral Imaging
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Springer US, Chapman And Hall/CRC Jul 2003, 2003
ISBN 10: 0306474832
ISBN 13: 9780306474835
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch. Seller Inventory # 9780306474835
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Hyperspectral Imaging : Techniques for Spectral Detection and Classification
Published by
Springer US, Springer US, 2003
ISBN 10: 0306474832
ISBN 13: 9780306474835
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780306474835
Quantity: 1 available