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Hardcover. Condition: Good. 2nd Edition. GOOD hardcover, no marks in text, strong binding. Book.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Image Processing for Computer Graphics and Vision (Texts in Computer Science)
Book 14 of 83: Texts in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 68.60
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Image Processing for Computer Graphics and Vision (Texts in Computer Science)
Book 14 of 83: Texts in Computer ScienceUS$ 66.63
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Condition: New. pp. 104.
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Introduction to Image Processing Using R: Learning by Examples (SpringerBriefs in Computer Science)
Book 57 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Introduction to Image Processing Using R : Learning by Examples
Book 57 of 322: SpringerBriefs in Computer ScienceUS$ 73.14
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Condition: New. pp. xvi + 462 2nd Edition.
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Image Processing for Computer Graphics and Vision
Book 14 of 83: Texts in Computer ScienceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. This book provides a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. The authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. Translator(s): Levy, Silvio. Series: Texts in Computer Science. Num Pages: 478 pages, 3 black & white tables, biography. BIC Classification: PBKS; UML; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 25. Weight in Grams: 741. . 2014. 2 Rev ed. Paperback. . . . .
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Introduction to Image Processing Using R: Learning by Examples
Book 57 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 1447149491 ISBN 13: 9781447149491
US$ 95.65
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Add to basketPaperback. Condition: Brand New. 2013 edition. 102 pages. 9.00x6.00x0.25 inches. In Stock.
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Condition: New. This book provides a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. The authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. Translator(s): Levy, Silvio. Series: Texts in Computer Science. Num Pages: 478 pages, 3 black & white tables, biography. BIC Classification: PBKS; UML; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 25. Weight in Grams: 741. . 2014. 2 Rev ed. Paperback. . . . . Books ship from the US and Ireland.
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Sar Image Analysis - a Computational Statistics Approach : With R Code, Data, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 131.51
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SAR Image Analysis - A Computational Statistics Approach: With R Code, Data, and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Image Processing for Computer Graphics and Vision (Texts in Computer Science)
Book 14 of 83: Texts in Computer ScienceUS$ 125.23
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SAR Image Analysis - A Computational Statistics Approach (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2022
ISBN 10: 111979529X ISBN 13: 9781119795292
Hardcover. Condition: new. Hardcover. SAR IMAGE ANALYSIS A COMPUTATIONAL STATISTICS APPROACH Discover how to use statistics to extract information from SAR imagery In SAR Image Analysis A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image analysis that are highly relevant to practitioners and students. The book offers the theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with the data and code samples, that students require to learn effectively and efficiently. SAR Image Analysis A Computational Statistics Approach provides various exercises throughout the book to help readers reinforce and retain the extensive information on parameter estimation, applications, reproducibility, replicability, and advanced topics, like robust estimators and stochastic distances, contained within. The book also includes: Thorough introductions to data acquisition and the elements of data analysis and image processing with R, including useful R packages, preprocessing SAR data, and visualizationComprehensive explorations of intensity SAR data and the multiplicative model, including the (SAR) gamma distribution, the K distribution, the G0 distribution, and more general distributions under the multiplicative modelPractical discussions of parameter estimations, including the Bernoulli distribution, the negative binomial distribution, and the uniform distributionIn-depth examinations of applications, including statistical filters and classification Perfect for undergraduate and graduate students studying remote sensing, data analysis, and statistics, SAR Image Analysis A Computational Statistics Approach is also an indispensable resource for researchers, practitioners, and professionals seeking a one-stop resource on how to use statistics to extract information from SAR imagery. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Sar Image Analysis - a Computational Statistics Approach : With R Code, Data, and Applications
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US$ 168.21
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US$ 136.00
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Add to basketGebunden. Condition: New. Alejandro C. Frery, PhD, is Professor of Statistics and Data Science at the School of Mathematics and Statistics at Victoria University at Wellington, New Zealand. He earned his doctorate in Applied Computing at the National Institute for Space Research in .
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SAR Image Analysis - A Computational Statistics Approach: With R Code, Data, and Applications
Language: English
Published by John Wiley & Sons Inc, 2022
ISBN 10: 111979529X ISBN 13: 9781119795292
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Add to basketCondition: New. 2022. 1st Edition. Hardcover. . . . . .
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SAR Image Analysis - A Computational Statistics Approach (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2022
ISBN 10: 111979529X ISBN 13: 9781119795292
US$ 150.26
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Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. SAR IMAGE ANALYSIS A COMPUTATIONAL STATISTICS APPROACH Discover how to use statistics to extract information from SAR imagery In SAR Image Analysis A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image analysis that are highly relevant to practitioners and students. The book offers the theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with the data and code samples, that students require to learn effectively and efficiently. SAR Image Analysis A Computational Statistics Approach provides various exercises throughout the book to help readers reinforce and retain the extensive information on parameter estimation, applications, reproducibility, replicability, and advanced topics, like robust estimators and stochastic distances, contained within. The book also includes: Thorough introductions to data acquisition and the elements of data analysis and image processing with R, including useful R packages, preprocessing SAR data, and visualizationComprehensive explorations of intensity SAR data and the multiplicative model, including the (SAR) gamma distribution, the K distribution, the G0 distribution, and more general distributions under the multiplicative modelPractical discussions of parameter estimations, including the Bernoulli distribution, the negative binomial distribution, and the uniform distributionIn-depth examinations of applications, including statistical filters and classification Perfect for undergraduate and graduate students studying remote sensing, data analysis, and statistics, SAR Image Analysis A Computational Statistics Approach is also an indispensable resource for researchers, practitioners, and professionals seeking a one-stop resource on how to use statistics to extract information from SAR imagery. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
