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An important component of higher level fusion and decision making is knowledge discovery. One form of knowledge representation is a set of probabilistic relationships between entities. Here we present biologically-inspired algorithmic support for automatic scene understanding and complex object recognition. Our algorithm learns the association between scene and complex objects and their primitive...
This paper considers the notion of the immune system as an information processing system for the purpose of data fusion. As the study of the brain inspired the development of neural networks, the immune system has inspired the development of a wide variety of algorithms. In this position paper, we argue how the various processes of molecular interaction and fusion in the biological immune system can...
Time series of optical satellite images acquired at high spatial resolution constitute an important source of information for crop monitoring, in particular for keeping track of crop harvest. However, the quantity of information extracted from this source is often restricted by acquisition gaps and uncertainty of radiometric values. This paper presents a novel approach that addresses this issue by...
Fusion of observational data acquired by human observers and couched in linguistic form is a modern-day challenge for the fusion community. This paper describes a basic research effort examining various strategies for associating and exploiting such data for intelligence analysis purposes. An overall approach is described that involves Latent Semantic Analysis, Inexact Graph Matching, formal ontology...
Recombinant cognition synthesis (RCS) provides an architectural framework and methodology for combining multi-source metadata with predictive and analytic algorithms to synthesize actionable knowledge. RCS bridges an implementation gap in the current Joint Directors of Laboratories (JDL) data fusion model by specifically addressing the integration of fusion levels 2 to 4. The situation awareness (SA)...
In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and...
Surveillance of large land, air or sea areas with a multitude of sensor and sensor types typically generates huge amounts of data. Human operators trying to establish individual or collective maritime situation awareness are often overloaded by this information. In order to help them cope with this information overload, we have developed a combined methodology of data visualization, interaction and...
We present a number of ldquomeaningrdquo elements carried by possible spoken dialogue texts. All of them are well known within linguistics, semantics, formal language disciplines and philosophy of language and several formal models have already been given in the past. We also show how any concept of meaning goes far beyond lexicon and ldquogrammarrdquo, involving at least world knowledge, but also...
This paper proposes a new method for multisensor background extraction and updating aimed at surveillance and target detection applications. The background scene extraction is based on robust multisensor change detection of moving objects in the scene. An iterative mechanism updates the background estimate using this information thereby ignoring transient objects but allowing for slow changes in scene...
The dynamic development of information fusion research implies introduction of new terms and concepts, which in turn requires tools and methods for terminology organization and standardization, as well as tools for creating domain-specific ontology. In this paper, we show how natural language processing and corpus technology tools applied for term extraction from texts in biomedicine can successfully...
The paper summarizes work to date directed at defining a service-based functional decomposition of the fusion process. The resulting architecture accommodates (1) traditional sensor data, as well as human-generated input, (2) streaming and nonstreaming data, and (3) the fusion of both physical and non-physical entities. Fifteen base level fusion services are identified then utilized to construct a...
In maritime surveillance, supporting operatorspsila situation awareness is a very important issue for enabling the possibility to detect anomalous behaviour. We present a user study which conceptualises knowledge to be implemented in a rule-based application aiming at supporting situation awareness. Participatory observations were used as a method for extracting operatorspsila knowledge. The result...
Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present...
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