Processing Analysis Hyperspectral Data by Jie Chen (14 results)

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  • Language: English

    Published by Intechopen, 2020

    1789851092 / 9781789851090

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

    Published by Intechopen, 2020

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  • Language: English

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  • Language: English

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  • Language: English

    Published by IntechOpen, 2020

    1789851092 / 9781789851090

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  • Language: English

    Published by IntechOpen, 2020

    1789851092 / 9781789851090

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnHyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide rang.

  • Language: English

    Published by Intechopen Jan 2020, 2020

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods. 136 pp. Englisch.

  • Language: English

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  • Language: English

    Published by IntechOpen, 2020

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    Buch. Condition: Neu. Processing and Analysis of Hyperspectral Data | Jie Chen (u. a.) | Buch | Gebunden | Englisch | 2020 | IntechOpen | EAN 9781789851090 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by Intechopen Jan 2020, 2020

    1789851092 / 9781789851090

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch.

  • Language: English

    Published by Intechopen, 2020

    1789851092 / 9781789851090

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.