Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6137321975 ISBN 13 : 9786137321973
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Ajouter au panierPaperback. Etat : Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6137321975 ISBN 13 : 9786137321973
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Ajouter au panierTaschenbuch. Etat : Neu. Snow Grain Size Mapping using Hyperspectral Remote Sensing Data | Spectral Analysis, Pre-processing & Snow Grain Size Mapping of EO-1 Hyperion Data in a Part of Lower Himalayan Region | Arnab Saha | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137321973 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ajouter au panierBuch. Etat : Neu. Neuware - Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author's first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap.Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections:\* Part I: provides fundamentals of hyperspectral data processing\* Part II: offers various algorithm designs for endmember extraction\* Part III: derives theory for supervised linear spectral mixture analysis\* Part IV: designs unsupervised methods for hyperspectral image analysis\* Part V: explores new concepts on hyperspectral information compression\* Parts VI & VII: develops techniques for hyperspectral signal coding and characterization\* Part VIII: presents applications in multispectral imaging and magnetic resonance imagingHyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages.Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6137321975 ISBN 13 : 9786137321973
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Snow is the part of atmosphere in the climate system of the earth and its physical parameters play an important role in hydrological and climate models. The present study explained that the imaging spectroscopy to produce the snow cover maps and estimation of snow grain size in the North-Western Himalayan region. It is necessary to develop an approach to map snow cover, snow grain size spatially using advance remote sensing technique. Remote sensing techniques can provide spatial information of a large extent at good temporal scale. In the present study, one of the important snow physical parameters (i.e snow grain size) has been estimated using Spectral angle mapper (SAM) classification method and Grain index (GI) method. Study was carried out by using NASA's hyperspectral EO-1 Hyperion sensor data of 12th January and 23rd January 2016 were used to map grain size of snow. The snow map generating for dry snow, small grain size snow, medium grain size snow, large grain size snow and wet snow classes. This study is of importance in this mapping of snow-cover characteristics, which can provide valuable input for climatology, hydrology, and mountain hazard applications.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6209175724 ISBN 13 : 9786209175725
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnHyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide rang.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods. 136 pp. Englisch.
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Ajouter au panierBuch. Etat : Neu. Processing and Analysis of Hyperspectral Data | Jie Chen (u. a.) | Buch | Gebunden | Englisch | 2020 | IntechOpen | EAN 9781789851090 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.