Isbn: 9783319899220 - big data for remote sensing: visualization, analysis and interpretation - digital earth and smart earth (12 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      EUR 172,72

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      Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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      Hardcover. Condizione: Brand New. 154 pages. 9.25x6.25x0.50 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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      EUR 244,28

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    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      EUR 126,26

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer International Publishing Jun 2018, 2018

      3319899228 / 9783319899220

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 160,49

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      Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges. 168 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer International Publishing, 2018

      3319899228 / 9783319899220

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      Da: moluna, Greven, Germaniamoluna

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      EUR 136,16

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the remote sensing and big data techniques/challenges along with up-to-date related topicsDiscusses advanced synthetic aperture radar imaging and feature analysis to detect images of a moving target in SARCovers several studies on .

    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      EUR 212,29

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      Condizione: New. Print on Demand.

    • Lingua: Inglese

      Editore: Springer, Springer Jun 2018, 2018

      3319899228 / 9783319899220

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 160,49

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      Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2018

      3319899228 / 9783319899220

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 218,29

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