Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9813344199 ISBN 13: 9789813344198
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are theoriginal contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 195,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 188,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 196,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 211,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Da: preigu, Osnabrück, Germania
EUR 157,95
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning for Hyperspectral Image Analysis and Classification | Linmi Tao (u. a.) | Taschenbuch | Engineering Applications of Computational Methods | xii | Englisch | 2022 | Springer | EAN 9789813344228 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9813344199 ISBN 13: 9789813344198
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 250,74
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are theoriginal contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 272,17
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 219 pages. 9.25x6.10x0.56 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: moluna, Greven, Germania
EUR 153,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proposes adaptive-boundary adjustment-based noise detection and group-wise band categorization with unsupervised spectral-spatial adaptive band-noise factor-based formulationPresents unsupervised spectral-spatial adaptive boundary adjustmen.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9813344229 ISBN 13: 9789813344228
Da: moluna, Greven, Germania
EUR 153,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to character.
Da: Majestic Books, Hounslow, Regno Unito
EUR 225,12
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 228,67
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 228,67
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 232,44
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.