By David L Hall
Info fusion refers back to the merging of knowledge from disparate resources with differing conceptual, contextual and typographical representations. instead of concentrating on conventional facts fusion functions which were usually all in favour of actual army pursuits, this particular source explores new human-centered traits, similar to destinations, id, and interactions of people and teams (social networks). in addition, the booklet discusses new significant resources of data: human observations and web-based details. This state of the art quantity provides a brand new view of multi-sensor facts fusion that seeks to deal with those new advancements, explicitly contemplating the lively position of a human user/analyst. pros develop into acquainted with the most important inputs into this leading edge details fusion approach, together with conventional sensing assets (S-space), dynamic groups of human observers (H-space), and assets comparable to archived sensor information, blogs, and dynamic information studies from citizen newshounds through the web (I-space).
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And A. N. , M. E. Liggins, D. L. Hall, and J. ), Boca Raton, FL: CRC Press, 2008, pp. 561–596. , Principles of Data Fusion Automation, Norwood, MA: Artech House, 1995. , “Studies and Analyses Within Project Correlation: An In-depth Assessment of Correlation Problems and Solution Techniques,” Proceedings of the 9th National Symposium on Sensor Fusion, March 12–14, 1996, pp. 171–188. , “Assessing the Performance of Multisensor Fusion Processes,” chapter 25 in Handbook of Multisensor Data Fusion: Theory and Practice, 2nd edition, M.
How can we effectively combine data from traditional physics-based sensors with human reports? , the automobile is in front of me) and by using fuzzy terminology (terms such as “near” and “far”). x Human observers are affected by traditional factors that affect hard sensors (observing conditions, terrain, weather) and also by personal characteristics such as level of training, attention, and fatigue. x x x x Unlike physical sensors, humans do not respond to demands for information and are generally an uncontrolled source.
Steinberg [60] provides an excellent overview of situation and threat assessment including an overview of key techniques. The intent of situation refinement is to understand the meaning of the results of level 1 processing—that is, to perform various types of reasoning including object assessment (analysis, recognition, characterization, and projection), and relationship assessment. , identification that multiple elements such as emitters, weapon systems, and logistical support equipment may comprise a higher-level military unit), (2) identify coordinated communications or movement among multiple entities, and (3) establish causal, temporal, and functional relationships among entities.