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Automatic Segmentation and Clustering of Spectral Terahertz Data: Hyperspectral image analysis in the Terahertz domain - Softcover
The goal of this thesis is to find ways to improve the analysis of hyperspectral Terahertz (THz) images. Although it would be desirable to have methods that can be applied on all spectral areas, this is impossible. Depending on the spectroscopic technique, the way the data is acquired differs as well as the characteristics that are to be detected. For these reasons, methods have to be developed or adapted to be especially suitable for the THz range and its applications. This work particularly aims at segmenting or clustering THz data. To achieve this, we propose a course of action that makes the methods adaptable to different kinds of measurements and applications, among those are the security sector and the pharmaceutical industry. State of the art methods will be analyzed and supplemented where necessary, improvements and new methods will be proposed. The course of action includes preprocessing methods to make the data comparable. Furthermore, feature reduction that represents chemical content in about $20$ channels instead of the initial hundreds will be presented. Finally the data will be segmented by efficient hierarchical clustering schemes. Various applications are shown
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Studied Mathematics at the Universität Potsdam until 2008 and afterwards until 2012 did a joint Phd between the Johanes Kepler Universität in Linz and the Technische Universität and the Fraunhofer ITWM in Kaiserslautern.
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- PublisherSüdwestdeutscher Verlag für Hochschulschriften
- Publication date2012
- ISBN 10 3838134907
- ISBN 13 9783838134901
- BindingPaperback
- Number of pages180
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Automatic Segmentation and Clustering of Spectral Terahertz Data: Hyperspectral image analysis in the Terahertz domain
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Automatic Segmentation and Clustering of Spectral Terahertz Data
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Automatic Segmentation and Clustering of Spectral Terahertz Data Hyperspectral image analysis in the Terahertz domain
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Automatic Segmentation and Clustering of Spectral Terahertz Data
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of this thesis is to find ways to improve the analysis of hyperspectral Terahertz (THz) images. Although it would be desirable to have methods that can be applied on all spectral areas, this is impossible. Depending on the spectroscopic technique, the way the data is acquired differs as well as the characteristics that are to be detected. For these reasons, methods have to be developed or adapted to be especially suitable for the THz range and its applications. This work particularly aims at segmenting or clustering THz data. To achieve this, we propose a course of action that makes the methods adaptable to different kinds of measurements and applications, among those are the security sector and the pharmaceutical industry. State of the art methods will be analyzed and supplemented where necessary, improvements and new methods will be proposed. The course of action includes preprocessing methods to make the data comparable. Furthermore, feature reduction that represents chemical content in about $20$ channels instead of the initial hundreds will be presented. Finally the data will be segmented by efficient hierarchical clustering schemes. Various applications are shown 180 pp. Englisch. Seller Inventory # 9783838134901
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Automatic Segmentation and Clustering of Spectral Terahertz Data Hyperspectral image analysis in the Terahertz domain
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(2012)
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Automatic Segmentation and Clustering of Spectral Terahertz Data
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Stephani HenrikeStudied Mathematics at the Universitaet Potsdam until 2008 and afterwards until 2012 did a joint Phd between the Johanes Kepler Universitaet in Linz and the Technische Universitaet and the Fraunhofer ITWM in Kaiserslaut. Seller Inventory # 5407762
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Automatic Segmentation and Clustering of Spectral Terahertz Data : Hyperspectral image analysis in the Terahertz domain
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The goal of this thesis is to find ways to improve the analysis of hyperspectral Terahertz (THz) images. Although it would be desirable to have methods that can be applied on all spectral areas, this is impossible. Depending on the spectroscopic technique, the way the data is acquired differs as well as the characteristics that are to be detected. For these reasons, methods have to be developed or adapted to be especially suitable for the THz range and its applications. This work particularly aims at segmenting or clustering THz data. To achieve this, we propose a course of action that makes the methods adaptable to different kinds of measurements and applications, among those are the security sector and the pharmaceutical industry. State of the art methods will be analyzed and supplemented where necessary, improvements and new methods will be proposed. The course of action includes preprocessing methods to make the data comparable. Furthermore, feature reduction that represents chemical content in about $20$ channels instead of the initial hundreds will be presented. Finally the data will be segmented by efficient hierarchical clustering schemes. Various applications are shown. Seller Inventory # 9783838134901
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