Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 32,13
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 33,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 36,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In English.
Da: Chiron Media, Wallingford, Regno Unito
EUR 32,08
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 33,19
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 39,48
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 39,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3031011287 ISBN 13: 9783031011283
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 29,95
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.
Da: preigu, Osnabrück, Germania
EUR 29,15
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Image Fusion in Remote Sensing | Conventional and Deep Learning Approaches | Arian Azarang (u. a.) | Taschenbuch | Synthesis Lectures on Image, Video, and Multimedia Processing | xi | Englisch | 2021 | Springer | EAN 9783031011283 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 28,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 42,61
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer International Publishing Feb 2021, 2021
ISBN 10: 3031011287 ISBN 13: 9783031011283
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 29,95
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing. 96 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 43,01
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3031011287 ISBN 13: 9783031011283
Da: moluna, Greven, Germania
EUR 28,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Arian Azarang received the BS degree and the first rank award from Shiraz University, Iran, in 2015, and the MS degree in electrical engineering from Tarbiat Modares University, Iran, in 2017. He received his Ph.D. degree in electrical engineering fr.
Lingua: Inglese
Editore: Springer, Birkhäuser Feb 2021, 2021
ISBN 10: 3031011287 ISBN 13: 9783031011283
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 29,95
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch.