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Published by Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Sudwestdeutscher Verlag fur Hochschulschrifte 2012-11, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: Chiron Media, Wallingford, United Kingdom
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Published by Südwestdeutscher Verlag Für Hochschulschriften Nov 2012, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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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.
Published by Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: moluna, Greven, Germany
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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.
Published by Südwestdeutscher Verlag Für Hochschulschriften, 2012
ISBN 10: 3838134907ISBN 13: 9783838134901
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
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.