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    Lucien Wald

ISBN: 9782911762383
UGS : 9782911762383 Catégorie :

Data Fusion

par : Lucien Wald

Data fusion is a formal framework in which are expressed the means and tools for the alliance of data originating from different […]

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Lucien Wald est docteur en sciences physiques (université Pierre et Marie Curie, Paris) et docteur ès sciences (université de Toulon) ; il a rejoint MINES ParisTech en 1980. Il a contribué à la naissance et aux progrès de l’observation de la Terre, en ce qui concerne les environnements marins, terrestres et urbains, la pollution de l’air, la météorologie, le rayonnement solaire et les effets de ce dernier sur la santé humaine.
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Résumé

Data fusion is a formal framework in which are expressed the means and tools for the alliance of data originating from different sources. It means an approach to information extraction spontaneously adopted in several domains before this was expressed as « data fusion ». This approach is based upon the synergy offered by the various sources. Applications are numerous, from biology to civil aviation.
This book clearly establishes the fundamentals (particularly definitions and architectures) in data fusion. It can be read with profit by anyone interested in data fusion, whatever his domain of expertise, and should be valuable to engineers, scientists and practitioners.
The second part of the book is devoted to methods for the fusion of images. It offers an in-depth presentation of standard and advanced methods for the fusion of multi-modality images. The emphasis is put on images having different spatial resolutions, but the book is not limited to this case. Given several sets of images acquired by disparate sensors, the problems treated are to create new sets of images of reduced dimensionality, in order to either better visualize the original sets of images as a comprehensive ensemble of information, or to synthesize images with a better spatial resolution.

Informations techniques

ISBN: 9782911762383
SKU: 9782911762383
Editeur: Presses des Mines
Date de publication: 2002/05
Nombre de pages: 200

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“Data Fusion”

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