Data Fusion: Definitions and Architectures : Fusion of Images of Different Spatial ResolutionsThis 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. |
From inside the book
Results 1-5 of 7
Page 11
... fundamentals in data fusion with respect to the fundamentals of the related sciences, e.g., physics, mathematics... It also expresses the properties of the data / information to be fused, of the methods for fusion, of the architectures ...
... fundamentals in data fusion with respect to the fundamentals of the related sciences, e.g., physics, mathematics... It also expresses the properties of the data / information to be fused, of the methods for fusion, of the architectures ...
Page 14
... fundamental questions. For example, what are the links between temperature measurements made at ground level using a thermometer and integrated over an hour, and the instantaneous measurements of the same temperature but made using a ...
... fundamental questions. For example, what are the links between temperature measurements made at ground level using a thermometer and integrated over an hour, and the instantaneous measurements of the same temperature but made using a ...
Page 15
... fundamentals and of its properties. Once established, such a framework permits a better description and formalization of the potentials of synergy between the available sources of. Figure 1.2. Weather forecasting is an excellent example ...
... fundamentals and of its properties. Once established, such a framework permits a better description and formalization of the potentials of synergy between the available sources of. Figure 1.2. Weather forecasting is an excellent example ...
Page 16
... fundamentals and help setting the foundations for subsequent growth. Such a discussion on fundamentals is seldom found in the literature. This part of the book should fill the gap, especially with regards to education and training. This ...
... fundamentals and help setting the foundations for subsequent growth. Such a discussion on fundamentals is seldom found in the literature. This part of the book should fill the gap, especially with regards to education and training. This ...
Page 19
... fundamentals should be easy. Not at all! Several years ago, as mathematicians told the author that he was doing data fusion, he asked for a definition. Then the author was stunned by the poverty of the few definitions, the lack of ...
... fundamentals should be easy. Not at all! Several years ago, as mathematicians told the author that he was doing data fusion, he asked for a definition. Then the author was stunned by the poverty of the few definitions, the lack of ...
Common terms and phrases
acquired acquisition algorithm alignment analysis applications appropriate architecture assessment association attributes auxiliary information better called centralized architecture changes Chapter classification color combination commensurate communications compression concept of data considered data fusion deal decisions defined definition describe discussed domain Earth engine entity environment especially example expressed extract Figure final formal framework fundamentals further fused fusion cell fusion process fusion system geographical given ground illustrates images increase industrial inputs instant integration interest issues JDL model maps mathematical means measurements merging methods modalities object observations obtained offer operation original parameters performed pixel position presented problems properties Quantitative assessment reference Refinement relevant represent representation rules satellite scheme sciences selection semantic levels sensing sensors signal single sources of information space spatial resolution specific techniques temperature understanding usually various vector vision wavelet weather
Popular passages
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.