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Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering practical guidance for those wishing to develop and explore NDT data fusion further. This book will prove invaluable to inspectors, students and researchers concerned with NDT signal processing measurements and testing. It shows the great value and major benefits which can be achieved by implementing multisensor data fusion, not only in NDT but also in any discipline where measurements and testing are key activities.

Nondestructive testing --- Multisensor data fusion. --- Fusion multicapteurs --- Data processing. --- Engineering --- General and Others

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Computer vision. --- Image processing. --- Multisensor data fusion --- Vision par ordinateur --- Traitement d'images --- Fusion multicapteurs --- Congresses --- Congrès --- Congrès

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Coding theory. --- Data compression (Telecommunication). --- Electronic data processing --- Multisensor data fusion. --- Distributed processing. --- Data compression (Telecommunication) --- Multisensor data fusion --- Coding theory --- Données --- Fusion multicapteurs --- Codage --- Traitement réparti --- Distributed processing --- Compression (Télécommunications) --- ELSEVIER-B EPUB-LIV-FT

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Physics --- Chemistry --- Information theory in mathematics --- Data transmission systems --- Knowledge representation (Information theory) --- Multisensor data fusion --- Théorie de l'information en mathématiques --- Données --- Représentation des connaissances --- Fusion multicapteurs --- Periodicals --- Périodiques --- Transmission --- Information, Théorie de l', en mathématiques --- Périodiques. --- Information Technology --- Mathematical Sciences --- General and Others --- Algorithms --- Applied Mathematics --- Data transmission systems. --- Information theory in mathematics. --- Multisensor data fusion.

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This book provides an introductory treatment of the fundamentals of decision-making in a distributed framework. Classical detection theory assumes that complete observations are available at a central processor for decision-making. More recently, many applications have been identified in which observations are processed in a distributed manner and decisions are made at the distributed processors, or processed data (compressed observations) are conveyed to a fusion center that makes the global decision. Conventional detection theory has been extended so that it can deal with such distributed detection problems. A unified treatment of recent advances in this new branch of statistical decision theory is presented. Distributed detection under different formulations and for a variety of detection network topologies is discussed. This material is not available in any other book and has appeared relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful reference for practicing engineers and researchers. I have actively pursued research on distributed detection and data fusion over the last decade, which ultimately interested me in writing this book. Many individuals have played a key role in the completion of this book.

Signal processing --- Multisensor data fusion --- Electronic data processing --- Traitement du signal --- Fusion multicapteurs --- Traitement réparti --- Distributed processing --- Signal processing. --- Multisensor data fusion. --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Sensor networks --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Distributed processing. --- Traitement réparti --- Electrical engineering. --- Communications Engineering, Networks. --- Electric engineering --- Engineering