Edité par LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Edité par LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 109,27
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Harbin Engineering University Press, 2014
ISBN 10 : 7566109375 ISBN 13 : 9787566109378
Langue: chinois
Vendeur : liu xing, Nanjing, JS, Chine
EUR 45,87
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Language:Chinese.Pub Date: 2014-11-01 Pages: 111 Publisher: Harbin Engineering University Press hyperspectral remote sensing can simultaneously acquire spatial information and spectral information of the target so as to better identify and distinguish ground objects credibility. At the same time. hyperspectral data has brought large amounts of data and high-dimensional data. This book is aimed dimensionality reduction of hyperspectral data compression and expansion discussed several methods i.
EUR 170,93
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Edité par Springer US, Springer US Okt 2010, 2010
ISBN 10 : 1441939431 ISBN 13 : 9781441939432
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch.
EUR 164,49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original).Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification.Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image.Chapter 13 examines artifacts that can arise from lossy compression.
EUR 178,14
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. Etat : New. An excellent technical reference for both academic and industrial researchers in the fields of computer science and engineeringA compilation of the most current results in the field of compression of remote sensing 3D data with chapters contr.
EUR 190,09
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
EUR 162,60
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 162,86
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 234,50
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Like New. Like New. book.
EUR 247,94
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Neuware - Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original).Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification.Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image.Chapter 13 examines artifacts that can arise from lossy compression.
Edité par Defense Industry Pub. Date :2011-3-1, 2011
ISBN 10 : 7118071196 ISBN 13 : 9787118071191
Langue: chinois
Vendeur : liu xing, Nanjing, JS, Chine
EUR 59,72
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Language:Chinese.Pages Number: 151 Publisher: Defense Industry Pub. Date :2011-3-1. Hyperspectral remote sensing image data compression is the author of the hyperspectral image at home and abroad the latest developments in compression technology. and summarize recent research on the basis of ed together. The book describes the hyperspectral remote sensing images of the basic concepts. characteristics and application. the basic method of data compression. hyperspectral remote sensing image com.
Edité par LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 41,67
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alomari AbdallahI graduated from the University of Jordan with a BSc in Computer Information Systems in 2006. After that i did my MSc in GIS and Remote Sensing from University Putra Malaysia 2008. Currently I am PhD student in the Co.
Edité par LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.
Edité par LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products. 88 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
EUR 137,26
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An excellent technical reference for both academic and industrial researchers in the fields of computer science and engineeringA compilation of the most current results in the field of compression of remote sensing 3D data with chapters contr.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original).Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification.Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image.Chapter 13 examines artifacts that can arise from lossy compression. 432 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 244,77
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand pp. 432 174 Illus.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 249,41
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND pp. 432.