Towards a query assisted tool for situation assessment
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1395-1402 vol.2
Tóm tắt
A critical problem when designing systems to support interpretation of real-world situations is how to handle possible alternative world views. This is especially true in situation assessment (SA) where the complexity of the task often requires the use of many diverse methods. If combined in an ad-hoc way, there is little or no chance of finding alternative solutions in a structured and reliable way. To overcome this problem a novel framework for SA, capable of exploring alternative interpretations in cooperation with a user is proposed. The specific problem addressed in this framework is compilation of a tactical ground picture in a situation with sensor observations that are highly discontinuous in space and time. A query language for multiple heterogeneous data sources is attached to the framework to assist users. The query language includes methods for target recognition and for fusion of the information acquired. Terrain information in both high and low resolution will also be available. Finally, it will be demonstrated how information acquired from the query language can be used to support the analysis in the situation assessment process with the aid of the proposed framework.
Từ khóa
#Database languages #Target recognition #Algorithm design and analysis #Fusion power generation #Information analysis #Evolutionary computation #Command and control systems #Uncertainty #Costs #Neural networksTài liệu tham khảo
paradis, 1999, Data fusion in support of dynamic human decision making, Proceedings of the Second International Conference on Information Fusion (FUSIon 1999)
ehrgottand, 2000, An annotaded bibliography of multi-objective combinatorial optimization, Technical Report 62/2000 Fachbereich Mathematik
falkenauer, 1998, Genetic Algorithms and Grouping Problems
teghem, 2000, Multiobjective combinatorial optimization, PPSN/SAB Workshop on Multiobjective Problem Solving from Nature II (MPSN-II)
10.1109/4235.735432
coello, 1999, A comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques. Knowledge and Information Systems, An International Journal, 1, 269
zitzler, 1999, Evolutionary algorithms for multiobjective optimization Methods and applications
10.1117/12.391990
goldberg, 1989, Genetic Algorithms in Search Optimization & Machine Learning
10.1007/3-540-48762-X_3
johnsson, 1999, Recursive composition inference for force aggregation, Proceedings of the Second International Conference on Information Fusion (FUSIon 1999)
chang, 2001, Query Languages for Multimedia Search, 199
hall, 2001, Handbook of Muhisensor Data Fusion, 10.1201/9781420038545
10.1117/12.392015
lantz, 2000, Dual aspects of a multi-resolution grid-based terrain data model with supplementary irregular data points, Proc 3rd Int Conf Inform Fusion, 0
eimqvist, 2001, Terrain modelling and analysis using laser scanner data, Proceedings of Conference on Land Surface Mapping and Characterization Using Laser Altimetry, 219
10.1142/S021884309800009X
chang, 2002, Multi-sensor information fusion by query refinement, Proceedings of the 5th International Conference on Visual Information Systems (VISUAL 2002) Hsin Chu Taiwan March Ll-IS
10.1109/7.826310
sjovall, 0, Object and feature recognition in a digital terrain model, Master report