Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
Exploitation of Landsat imagery and ancillary data for battlespace characterization
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 994-998 vol.2
Spectral data provide opportunities to discriminate targets from background
clutter and to detect partially concealed objects. However, data with high
spatial resolution generally are not synoptic scale (hundreds of kilometers). By
analyzing courser resolution synoptic imagery, high-resolution sensors can then
be cued to areas of potential targets. Multispectral images (Landsat 7) are
combined wit...
#Satellites #Remote sensing #Spatial resolution #Image analysis #Layout #Traffic control #Roads #Intelligent sensors #Object detection #Image resolution
Information fusion in a cooperative multi-agent system for web information retrieval
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1256-1262 vol.2
As an attempt to solve some contemporary web information retrieval problems, a
construction of a cooperative multiagent system is proposed. This. paper
introduces the system and presents the use of a, unique aggregation and fusion
technique that is employed to attain reliable delivery performance. The
intelligent methodology to fuse agents' decisions, the team consensus approach,
models the intera...
#Multiagent systems #Information retrieval #Information management #World Wide Web #Intelligent agent #Fuses #Uncertainty #Internet #Web sites #Information filtering
Scalable data fusion using Astrolabe
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1434-1441 vol.2
The dramatic growth of computer networks creates both an opportunity and a
daunting distributed computing problem for users seeking to perform data fusion
and data mining. The problem is that data often resides on large numbers of
devices and evolves rapidly. Systems that collect data at a single location
scale poorly and suffer from single-point-failures. Astrolabe performs data
fusion in real-ti...
#Data mining #Databases #Peer to peer computing #Robustness #Biosensors #Distributed computing #Protocols #Scalability #Data security #Application software
A simple model for reliable query reporting in sensor networks
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1070-1075 vol.2 - 2002
We consider the problem of inducing the formation of reliable energy-constrained
communication paths in distributed sensor networks. We label this problem of
reliable information routing from reporting sensors to query nodes as reliable
query reporting (RQR) and analyze it using game-theoretic techniques to model
the behavior of individual sensor nodes. Sensors behave strategically wherein
they ta...
#Intelligent networks #Sensor arrays #Reliability theory #Game theory #Sensor phenomena and characterization #Computer network reliability #Computer science #Global Positioning System #Telecommunication network reliability #Power generation economics
Information fusion for image analysis: geospatial foundations for higher-level fusion
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 1 - Trang 562-569 vol.1
In support of the AFOSR program in Information Fusion, the CNS Technology
Laboratory at Boston University is developing and applying neural models of
image and signal processing, pattern learning and recognition, associative
learning dynamics, and 3D visualization, to the domain of Information Fusion for
Image Analysis in a geospatial context. Our research is focused by a challenge
problem involvi...
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 1 - 2002
The following topics are dealt with: AFOSR Information Fusion Initiative;
multiple model tracking; probabilistic multi-hypothesis tracking; track fusion;
GMTI tracking; information fusion for critical infrastructure protection; image
fusion and exploitation; data association; information modeling and learning;
information fusion techniques for surveillance and security applications;
situation anal...
#Multisensor systems #Bayes procedures #Security #Surveillance #Fuzzy logic #Estimation #Monte Carlo methods #Probability
Fault-tolerant interval estimation fusion by Dempster-Shafer theory
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1605-1612 vol.2
Fault tolerance is an important issue in network design because sensor networks
must work in a dynamic, uncertain situation. In this paper, using
Dempster-Shafer theory of evidence, we propose several new fault-tolerant
interval integration functions, which give interval estimate fusion outputs and
the corresponding belief levels, depending on prior information and practical
requirements. Not only...
#Fault tolerance #Sensor fusion #Yield estimation #Weapons #Mathematics #Object detection #Target tracking #Current measurement #Time measurement #Fuses
Comparison of plot and track fusion for naval sensor integration
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1361-1366 vol.2
This paper compares plot and track fusion or a generic suite of sensors that
might be available on a future warship, with an emphasis on their relative
ability to maintain track continuity in the event of missed measurements/plots.
Using plot fusion measurement level data are formed into tracks at a central
location, whereas with track fusion state estimate (i.e. track) level data are
combined fro...
#Sensor fusion #Radar tracking #Target tracking #Sensor systems #State estimation #Sensor phenomena and characterization #Parametric statistics #Kinematics #Clutter #Noise figure
A d-step fixed-lag smoothing algorithm for Markovian switching systems
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 1 - Trang 721-726 vol.1
A suboptimal approach to the d(d /spl ges/ 0) step fixed-lag smoothing problem
for Markovian switching systems is presented. Multiple Model Estimation
techniques have been widely used in solving state estimation problems of these
systems. We demonstrated that the mode probability of each fixed-lag smoother at
time k-d (data up to time k), thus it is possible to use Markov transition
probability an...
#Smoothing methods #Switching systems #State estimation #Probability #Target tracking #Gaussian noise #Filters #Filtering algorithms #Statistics #Costs
Real-time multi-model interpolation of range-varying acoustic propagation
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 1 - Trang 207-212 vol.1
This paper presents an efficient method for extracting a multi-model
interpolation function from a nonlinear system. The multi-model interpolation
function consists of couple simplified time-varying models in neural-network
structure to dynamically approximate the nature of the physical phenomena to be
interpolated and extrapolated. The purpose of using the multi-model
interpolation function is to...
#Interpolation #Acoustic propagation #Underwater acoustics #Nonlinear systems #Couplings #Propagation losses #Oceans #Sea measurements #Velocity measurement #Size measurement
Tổng số: 230
- 1
- 2
- 3
- 4
- 5
- 6
- 10