Hyperspectral Image Fusion (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
191
Utgivningsdatum
2013-05-25
Upplaga
2013 ed.
Förlag
Springer-Verlag New York Inc.
Medarbetare
Kotwal, Ketan
Illustratör/Fotograf
12 schwarz-weiße Tabellen 42 schwarz-weiße Abbildungen
Illustrationer
12 Tables, black and white; XVI, 191 p.
Dimensioner
234 x 165 x 19 mm
Vikt
471 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9781461474692
Hyperspectral Image Fusion (inbunden)

Hyperspectral Image Fusion

Inbunden Engelska, 2013-05-25
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Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.
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Innehållsförteckning

Introduction.- Current State of the Art.- Edge-preserving Solution.- Band Selection through Redundancy Elimination.- Bayesian Estimation.- Variational Solution.- Optimization-based Fusion.- Band Selection: Revisited.- Performance Assessment of Fusion Techniques.- Results and Discussions.- Conclusions and Directions for Future Research.