This paper considers the applicability of algorithms, constraint solving and active structure across the spectrum of complexity of informationfusionapplications. informationfusion is recast as a cognitive applicati...
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ISBN:
(纸本)9780819471659
This paper considers the applicability of algorithms, constraint solving and active structure across the spectrum of complexity of informationfusionapplications. informationfusion is recast as a cognitive application using dynamic structure building and constraint reasoning. The similarity between situation awareness and an undirected structure responding to change is highlighted. The efficiency and speed of operation of cognitive informationfusion are touched on. A tsunami warning system provides an example which involves multiple threat and demonstrates the difference between segmented algorithms making decisions without context, and the active use of knowledge.
This paper is about the fusion of multiple knowledge sources represented using default logic. More precisely, the focus is on solving the problem that occurs when the standard-logic knowledge parts of the sources are ...
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ISBN:
(纸本)9780819471659
This paper is about the fusion of multiple knowledge sources represented using default logic. More precisely, the focus is on solving the problem that occurs when the standard-logic knowledge parts of the sources are contradictory, as default theories trivialize in this case. To overcome this problem, several candidate policies are discussed. Among them, it is shown that replacing each formula belonging to minimally unsatisfiable subformulas by a corresponding supernormal default exhibits appealing features.
McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by...
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ISBN:
(纸本)9780819471659
McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by McQ to use many sensors and share their information. This multi sensor fusion architecture includes data sharing and analysis at the individual sensor, at communications nodes that connect many sensors together, at the system server/user interface, and across multi source information available through networked services. McQ will present a data fusion architecture that integrates a "Feature information Base" (FIB) with McQ's well known Common Data Interchange Format (CDIF) data structure. The distributed multi sensor fusion provides enhanced situation awareness for the user.
Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture transmitter windows require new and innovative approaches to active sensor technologies. The bistati...
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ISBN:
(纸本)9780819471659
Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture transmitter windows require new and innovative approaches to active sensor technologies. The bistatic technique to target tracking is extended to form a multistatic radar system using multiple and separate transmitters and receivers that are designated sparsely located in a region. The fusion of the received data through the utility of a non-linear Kalman filter technique is discussed to predict track through observations from the multistatic system. Target positions and velocities are estimated and the error is shown to converge to zero. The Munkre algorithm is utilized for data and track association to improve error minimization.
A PRECARN partnership project, called CanCoastWatch (CCW), is bringing together a team of researchers from industry, government, and academia for creating an advanced simulation test bed for the purpose of evaluating ...
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ISBN:
(纸本)9780819471659
A PRECARN partnership project, called CanCoastWatch (CCW), is bringing together a team of researchers from industry, government, and academia for creating an advanced simulation test bed for the purpose of evaluating the effectiveness of Network Enabled Operations in a Coastal Wide Area Surveillance situation. The test bed allows experimenting with higher-level distributed informationfusion, dynamic resource management and configuration management given multiple constraints on the resources and their communications networks. The test bed provides general services that are useful for testing many fusionapplications. This includes a multi-layer plug-and-play architecture, and a general multi-agent framework based on John Boyd's OODA loop.
Many image fusion systems involving passive sensors require the accurate registration of the sensor data prior to performing fusion. Since depth information is not readily available in such systems, all registration a...
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ISBN:
(纸本)9780819471659
Many image fusion systems involving passive sensors require the accurate registration of the sensor data prior to performing fusion. Since depth information is not readily available in such systems, all registration algorithms are intrinsically approximations based upon various assumption about the depth field. Although often overlooked, many registration algorithms can break down in certain situations and this may adversely affect the image fusion performance. In this paper, we discuss a framework for quantifying the accuracy and robustness of image registration algorithms which allows a more precise understanding of their shortcomings. In addition, some novel algorithms have been investigated that overcome some of these limitations. A second aspect of this work has considered the treatment of images from multiple sensors whose angular and spatial separation is large and where conventional registration algorithms break down (typically greater than a few degrees of separation). A range of novel approaches is reported which exploit the use of parallax to estimate depth information and reconstruct a geometrical model of the scene. The imagery can then be combined with this geometrical model to render a variety of useful representations of the data. These techniques (which we term Volume Registration) show great promise as a means of gathering and presenting 3D and 4D scene information for both military and civilian applications.
We propose using the smart antenna principle as the basis of a new design for smart optical receivers in LADAR systems. This paper demonstrates the feasibility of designing a LADAR system with a receiver consisting of...
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ISBN:
(纸本)9780819471659
We propose using the smart antenna principle as the basis of a new design for smart optical receivers in LADAR systems. This paper demonstrates the feasibility of designing a LADAR system with a receiver consisting of an array of photodetectors, which leads to field-of-view enhancement and beamforming by fusing streams of video information received from the detectors. As a proof of concept, we demonstrate this design by fusing several video information streams from different fields of view using our Mathworks Simulinko model. The fusion algorithm uses the fuzzy logic maximum operation on the data output from the cameras.
We present a fast and efficient method to derive and apply natural colors to nighttime imagery from multiband sensors. The color mapping is derived from the combination of a multiband image and a corresponding natural...
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ISBN:
(纸本)9780819471659
We present a fast and efficient method to derive and apply natural colors to nighttime imagery from multiband sensors. The color mapping is derived from the combination of a multiband image and a corresponding natural color reference image. The mapping optimizes the match between the multiband image and the reference image, and yields a nightvision image with colors similar to that of the daytime image. The mapping procedure is simple and fast. Once it has been derived the color mapping can be deployed in realtime. Different color schemes can be used tailored to the environment and the application. The expectation is that by displaying nighttime imagery in natural colors human observers will be able to interpret the imagery better and faster, thereby improving situational awareness and reducing reaction times.
The ability of a tracker to isolate the foreground target from the background of an image is crucially dependent on the set of features selected for tracking. Collins & Liu [2] propose an on-line, adaptive approac...
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ISBN:
(纸本)9780819471659
The ability of a tracker to isolate the foreground target from the background of an image is crucially dependent on the set of features selected for tracking. Collins & Liu [2] propose an on-line, adaptive approach to selecting the set of features based on the insight that the set of features that best discriminate between target and background classes is the best set to use for tracking. In previous work [10], we have proposed an approach based on Combinatorial fusion Analysis for selecting features for Real-Time tracking. We discuss the relative merits of the two methods and motivate their combination to produce an improved tracking system. We show several results from a difficult tracking sequence with human targets to demonstrate the effectiveness of the combined system.
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