9789813344228 - deep learning for hyperspectral image analysis and classification: 5 di tao, linmi; mughees, atif (11 risultati)
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Altre immaginiLingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. 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 Heidelber…g, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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…ize 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.
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / 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 de…tection and band categorization. The method to character.
Lingua: Inglese
Editore: Springer Nature Singapore Feb 2022, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 met…hod 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. 220 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Feb 2022, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2022
Serie: Engineering Applications of Computational Methods, Libro 5 di 20. Libro 5 di 20 - Engineering Applications of Computational Methods
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
