EUR 40,00
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Da: Books Puddle, New York, NY, U.S.A.
EUR 45,76
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 47,38
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 130.
Da: California Books, Miami, FL, U.S.A.
EUR 51,05
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 51,82
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 45,87
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Aggiungi al carrelloCondizione: New.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 61,38
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Aggiungi al carrelloPaperback. Condizione: New. In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 64,05
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 63,13
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Aggiungi al carrelloPaperback. Condizione: New. In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,80
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Da: Best Price, Torrance, CA, U.S.A.
EUR 41,42
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 52,19
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 69,40
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Aggiungi al carrelloPaperback. Condizione: New. In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,95
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 65,23
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Aggiungi al carrelloPaperback. Condizione: Brand New. 164 pages. 9.00x6.00x0.50 inches. In Stock.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 44,78
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 110,61
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Da: Majestic Books, Hounslow, Regno Unito
EUR 118,44
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Da: Best Price, Torrance, CA, U.S.A.
EUR 105,04
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Da: Books Puddle, New York, NY, U.S.A.
EUR 132,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 123,14
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 130,22
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 135,57
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 131,71
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 137,38
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 164,21
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Aggiungi al carrelloHardcover. Condizione: Brand New. 151 pages. 9.50x6.25x0.50 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 45,36
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Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 47,51
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 56,49
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 54,49
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.