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  • 1
    Online Resource
    Online Resource
    Information fusion in signal and image processing : major probabilistic and non-probabilistic numerical approaches (2008)
    London :ISTE ;
    Details
    UID:
    almafu_9959327908302883
    Format: 1 online resource (295 pages) : , illustrations
    ISBN: 9780470393659 , 0470393653 , 9780470611074 , 0470611073 , 1848210191 , 9781848210196 , 9781905209767 , 1905209762
    Series Statement: Digital signal and image processing series
    Uniform Title: Fusion d'informations en traitement du signal et des images. English.
    Content: The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
    Note: Definitions / Isabelle Bloch and Henri Maître -- Fusion in signal processing / Jean-Pierre Le Cadre, Vincent Nimier, and Roger Reynaud -- Fusion in image processing / Isabelle Bloch and Henri Maître -- Fusion in robotics / Michèle Rombaut -- Information and knowledge representation in fusion problems / Isabelle Bloch and Henri Maître -- Probabilistic and statistical methods / Isabelle Bloch, Jean-Pierre Le Cadre, and Henri Maître -- Belief function theory / Isabelle Bloch -- Fuzzy sets and possibility theory / Isabelle Bloch -- Spatial information in fusion methods / Isabelle Bloch -- Multi-agent methods : an example of an architecture and its application for the detection, recognition, and identification of targets / Fabienne Ealet, Bertrand Collin, and Catherine Garbay -- Fusion of non-simultaneous elements of information : temporal fusion / Michèle Rombaut -- Probabilities : a historical perspective -- Axiomatic inference of the Dempster-Shafer combination rule.
    Additional Edition: Print version: Fusion d'informations en traitement du signal et des images. English. Information fusion in signal and image processing. London : ISTE ; Hoboken, NJ : Wiley, 2008 ISBN 9781848210196
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    DOI: 10.1002/9780470611074
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611074
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611074
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611074
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
    FU Berlin
  • 2
    Online Resource
    Online Resource
    Information fusion in signal and image processing : major probabilistic and non-probabilistic numerical approaches (2008)
    London :ISTE ;
    Details
    UID:
    edocfu_9961557203402883
    Format: 1 online resource (297 p.)
    Edition: 1st edition
    ISBN: 1-282-16497-X , 9786612164972 , 0-470-61107-3 , 0-470-39365-3
    Series Statement: ISTE ; v.22
    Uniform Title: Fusion d'informations en traitement du signal et des images. English.
    Content: The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).
    Note: "First published in France in 2003 by Hermes Science/Lavoisier entitled 'Fusion d'informations en traitement du signal et des images'" --T.p. verso. , Information Fusion in Signal and Image Processing; Table of Contents; Preface; Chapter 1. Definitions; 1.1. Introduction; 1.2. Choosing a definition; 1.3. General characteristics of the data; 1.4. Numerical/symbolic; 1.4.1. Data and information; 1.4.2. Processes; 1.4.3. Representations; 1.5. Fusion systems; 1.6. Fusion in signal and image processing and fusion in other fields; 1.7. Bibliography; Chapter 2. Fusion in Signal Processing; 2.1. Introduction; 2.2. Objectives of fusion in signal processing; 2.2.1. Estimation and calculation of a law a posteriori , 2.2.2. Discriminating between several hypotheses and identifying2.2.3. Controlling and supervising a data fusion chain; 2.3. Problems and specificities of fusion in signal processing; 2.3.1. Dynamic control; 2.3.2. Quality of the information; 2.3.3. Representativeness and accuracy of learning and a priori information; 2.4. Bibliography; Chapter 3. Fusion in Image Processing; 3.1. Objectives of fusion in image processing; 3.2. Fusion situations; 3.3. Data characteristics in image fusion; 3.4. Constraints; 3.5. Numerical and symbolic aspects in image fusion; 3.6. Bibliography , Chapter 4. Fusion in Robotics4.1. The necessity for fusion in robotics; 4.2. Specific features of fusion in robotics; 4.2.1. Constraints on the perception system; 4.2.2. Proprioceptive and exteroceptive sensors; 4.2.3. Interaction with the operator and symbolic interpretation; 4.2.4. Time constraints; 4.3. Characteristics of the data in robotics; 4.3.1. Calibrating and changing the frame of reference; 4.3.2. Types and levels of representation of the environment; 4.4. Data fusion mechanisms; 4.5. Bibliography; Chapter 5. Information and Knowledge Representation in Fusion Problems , 5.1. Introduction5.2. Processing information in fusion; 5.3. Numerical representations of imperfect knowledge; 5.4. Symbolic representation of imperfect knowledge; 5.5. Knowledge-based systems; 5.6. Reasoning modes and inference; 5.7. Bibliography; Chapter 6. Probabilistic and Statistical Methods; 6.1. Introduction and general concepts; 6.2. Information measurements; 6.3. Modeling and estimation; 6.4. Combination in a Bayesian framework; 6.5. Combination as an estimation problem; 6.6. Decision; 6.7. Other methods in detection; 6.8. An example of Bayesian fusion in satellite imagery , 6.9. Probabilistic fusion methods applied to target motion analysis6.9.1. General presentation; 6.9.2. Multi-platform target motion analysis; 6.9.3. Target motion analysis by fusion of active and passive measurements; 6.9.4. Detection of a moving target in a network of sensors; 6.10. Discussion; 6.11. Bibliography; Chapter 7. Belief Function Theory; 7.1. General concept and philosophy of the theory; 7.2. Modeling; 7.3. Estimation of mass functions; 7.3.1. Modification of probabilistic models; 7.3.2. Modification of distance models , 7.3.3. A priori information on composite focal elements (disjunctions) , English
    Additional Edition: ISBN 1-84821-019-1
    Language: English
    Subjects: Engineering
    RVK:
    ZN 6025
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    FU Berlin
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