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Bloch I. (ed.) Information Fusion in Signal and Image Processing Digital Signal and Image Processing

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Bloch I. (ed.) Information Fusion in Signal and Image Processing Digital Signal and Image Processing
Издательство ISTE/John Wiley, 2008, -297 pp.
Over the past few years, the field of information fusion has gone through considerable and rapid change. While it is difficult to write a book in such a dynamic environment, this book is justified by the fact that the field is currently at a turning point. After a phase of questions, debates, and even mistakes, during which the field of fusion in signal and image processing was not well defined, we are now able to efficiently use basic tools (often imported from other fields) and it is now possible to both design entire applications, and develop more complex and sophisticated tools. Nevertheless, there remains much theoretical work to be done in order to broaden the foundations of these methods, as well as experimental work to validate their use.
The objectives of this book are to present, on the one hand, the general ideas of fusion and its specificities in signal and image processing and in robotics, and on the other hand, the major methods and tools, which are essentially numerical. This book does not intend, of course, to compete with those devoted entirely to one of these tools, or one of these applications, but instead tries to underline the assets of the different theories in the intended application fields.
With a book like this one, we cannot aspire to be comprehensive. We will not discuss methods based on expert or multi-agent systems (however, an example will be given to illustrate them), on neural networks and all of the symbolic methods expressed in logical formalism. Several teams work on developing such methods, for example, in France, the IRIT in Toulouse and the CRIL in Lens on logical methods, the LAAS in Toulouse on neuromimetic methods, the IMAG in Grenoble on multiagent systems, and many others. Likewise, among the methods we will discuss, many interesting aspects will have to be left aside, whether theoretical, methodological or regarding applications because they would bring the reader beyond the comparative context we want him to stay in, but we hope that the cited references will help complete this presentation for readers who would wish to study these aspects further.
This book is meant essentially for PhD students, researchers or people in the industry, who wish to familiarize themselves with the concepts of fusion and discover its main theories. It can also serve as a guide to understanding theories and methodologies, developing new applications, discovering new research subjects, for example, those suggested by the problems and prospects mentioned in this book.
Fusion in Signal Processing
Fusion in Image Processing
Fusion in Robotics
Information and Knowledge Representation in Fusion Problems
Probabilistic and Statistical Methods
Belief Function Theory
Fuzzy Sets and Possibility Theory
Spatial Information in Fusion Methods
Multi-Agent Methods: An Example of an Architecture and its Application for the Detection, Recognition and Identification of Targets
Fusion of Non-Simultaneous Elements of Information: Temporal Fusion
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