Data Fusion: Definitions and Architectures : Fusion of Images of Different Spatial Resolutions

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Presses des MINES, 2002 - Image processing - 198 pages
This book establishes the fundamentals (particularly definitions and architectures) in data fusion. 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.

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Page 41 - Data fusion techniques combine data from multiple sensors, and related information from associated data bases to achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor done.
Page 40 - image fusion is the combination of two or more different images to form a new image by using a certain algorithm".
Page 46 - Data fusion is a formal framework in which are expressed means and tools for the alliance of data originating from different sources. It aims at obtaining information of greater quality; the exact definition of 'greater quality' will depend upon the application.
Page 41 - Enhancement of Low Bit-Rate Coded Images Using Edge Detection and Estimation," Computer Vision Graphics and Image Processing: Graphical Models and Image Processing, Vol. 53, No. 1, January 1991, pp. 52-62. [7] RR Schultz and RL Stevenson, "Improved Definition Image Expansion," Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, San Francisco, CA, March 23-26, 1992.
Page 41 - Data fusion is a multilevel, multifaceted process dealing with the automatic detection, association, correlation, estimation, and combination of data and information from single and multiple sources to achieve refined position and identity estimates, and complete and timely assessments of situations and threats and their significance.
Page 40 - Data fusion has also been broadly defined as "the process of organizing, merging and linking disparate information elements (eg, map features, images, text reports, video, etc.) to produce a consistent and understandable representation of an actual or hypothetical set of objects and/or events in space and time
Page 43 - DL Hall, Mathematical Techniques in Multisensor Data Fusion, Artech House, Boston - London, 1992. 2. E. Waltz and J. Llinas, Multisensor Data Fusion, Artech House, Norwood, MA, 1990. 3. AN Steinberg and CL Bowman, "Revision to the JDL data fusion model," in Handbook of Multisensor Data Fusion, DL Hall and J.
Page 41 - Data Fusion Subpanel of the Joint Directors of Laboratories. Technical Panel for C3 (FE White, Code 4202, NOSC, San Diego, CA), 1991.
Page 13 - The exploitation of satellite images and more generally of observations of the Earth and our environment is presently one of the most productive in data fusion. Observation of the Earth is performed by means of satellites, planes, ships, and groundbased instruments. It results into a great variety of measurements, partly redundant, partly complementary. These measurements may be punctual and time-integrated, bi-dimensional and instantaneous...
Page 41 - Special consideration should be devoted to the works performed by the Department of Defense of the United States of America, and especially by the Data Fusion Subpanel of the Technology Panel for C3 (command, control, communications) of the Joint Directors of Laboratories (JDL). The JDL developed a functional model that illustrates the primary functions, relevant information and databases, and interconnectivity to perform data fusion.

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