Data Fusion: Definitions and Architectures : Fusion of Images of Different Spatial Resolutions
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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acquisition algorithms alignment analysis applications assessment association attributes auxiliary information better centralized architecture Chapter classification combination commensurate communications compression concatenation concept of data data assimilation data fusion decentralized architecture decisions defined denote domain DSTO Earth observation entity environment example external knowledge extract formal framework functional model fundamentals fused products fusion cell fusion of images fusion of representations fusion operation fusion process fusion system geographical information geographical information system geospatial metadata greater quality IEEE image fusion information fusion inputs integration iterative process JDL model Kalman filtering maps Mathematical techniques mathematical tools measurements merging methods multisensor data fusion Numerical Weather Prediction Open GIS Consortium OpenGIS performed pixel presented process laws processing issues properties radar raster Refinement relevant Remote Sensing representations XS(1))t rules scheme semantic levels sensor fusion sets of images signal sources of information space spatial resolution specific temperature terms of reference topological issues vector velocity weather forecasting
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 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.  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.