Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Các bài báo tiêu biểu
Information fusion for image analysis: geospatial foundations for higher-level fusion
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
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
There is an obvious need to be able to integrate both linguistic-based and
stochastic-based input information in data fusion. In particular, this need is
critical in addressing problems of track association, including cyber-state
intrusions. This paper treats this issue through a new insight into how three
apparently distinct mathematical tools can be combined: "boolean relational
event algebra" (...
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
Particle filtering for multi-target tracking and sensor management
Tập 1 - Trang 474-481 vol.1
In this paper, we present computational methods based on particle filters to
address the multi-target tracking and sensor management problems. We present a
jump Markov model of multi-target systems and an efficient particle filtering
algorithm to perform inference. In addition, we also present a formulation of
the sensor management problem and its solution using particle methods.
#Particle tracking #Target tracking #Particle filters #Sensor fusion #Sensor systems #State estimation #Nonlinear dynamical systems #Engineering management #Filtering algorithms #Optimal control
Multi-sensor data fusion architecture based on adaptive Kalman filters and fuzzy logic performance assessment
Tập 2 - Trang 1542-1549 vol.2
In this work a novel multi-sensor data fusion (MSDF) architecture is presented.
First, each measurement-vector coming from each sensor is fed to a fuzzy
logic-based adaptive Kalman filter (FL-AKF); thus there are N sensors and N
FL-AKFs working in parallel. The adaptation in each FL-AKF is, in the sense of
dynamically tuning the measurement noise covariance matrix R, employing a fuzzy
inference sy...
#Fuzzy logic #State estimation #Kalman filters #Filtering #Covariance matrix #Fuzzy systems #Adaptive filters #Computer architecture #Difference equations #Programmable control
Ranking by AHP: a rough approach
Tập 1 - Trang 185-190 vol.1
Decision making is always a difficult assignment for everyone in every context
and more information eases the process and makes it more accurate. More data
does not always mean more information. Rough sets alone can be adopted to handle
hierarchical structure in the family of criteria using decision rules based on
preference model. The rules are induced from the preferential information given
by t...
#Information systems #Decision making #Mathematics #Rough sets #Spatial databases #Algorithm design and analysis #Fuzzy sets #Fuzzy set theory #Set theory
Sensor registration using airlanes
Tập 1 - Trang 354-360 vol.1
In integrated multisensor surveillance systems, a prerequisite for sensor data
fusion is accurate registration of the sensors. In this paper, a recursive
Bayesian method for sensor registration at the sensor level is proposed that
exploits airlane information., A probabilistic model of the state of a target of
opportunity is first formulated based on the airlane information. Then, the
paper descri...
#Sensor fusion #Sensor systems #Surveillance #Monte Carlo methods #Bayesian methods #Radar tracking #Target tracking #Australia #Sensor phenomena and characterization #Data processing
Optimal update with out-of-sequence measurements for distributed filtering
Tập 2 - Trang 1519-1526 vol.2
This paper is concerned with optimal filtering in a distributed multiple sensor
system with the so-called out-of-sequence measurements (OOSM). Based on BLUE
(best linear unbiased estimation) fusion, we present two algorithms for updating
with OOSM that are optimal for the information available at the time of update.
Different minimum storage of information concerning the occurrence time of OOSMs
a...
#State estimation #Delay effects #Time measurement #Sensor systems #Target tracking #Filtering #Sensor fusion #Noise measurement #Electric variables measurement #Mathematics
Fusion of multi-modality volumetric medical imagery
Tập 2 - Trang 1206-1212 vol.2
Ongoing efforts at our laboratory have targeted the development of techniques
for fusing medical imagery of various modalities (i.e. MRI, CT, PET, SPECT,
etc.) into single image products. Past results have demonstrated the potential
for user performance improvements and workload reduction. While these are
positive results, a need exists to address the three-dimensional nature of most
medical image...
#Biomedical imaging #Magnetic resonance imaging #Image fusion #Laboratories #Computed tomography #Positron emission tomography #Convolution #Kernel #Graphical user interfaces #Data mining
Exploiting MODTRAN radiation transport for atmospheric correction: The FLAASH algorithm
Tập 2 - Trang 798-803 vol.2
Terrain categorization and target detection algorithms applied to hyperspectral
imagery (HSI) typically operate on the measured reflectance (of sun and sky
illumination) by an object or scene. Since the reflectance is a non-dimensional
ratio, the reflectance by an object is nominally not affected by variations in
lighting conditions. Atmospheric correction (referred to as atmospheric
compensation,...
#Reflectivity #Atmospheric measurements #Object detection #Hyperspectral sensors #Hyperspectral imaging #Sun #Lighting #Layout #Optical propagation #Spectral analysis
A new definition of qualified gain in a data fusion process: application to telemedicine
Tập 2 - Trang 865-872 vol.2
A formal framework is proposed for defining data fusion processes. Particularly
the notion of qualified gain is proposed: gain related to representation,
completeness, accuracy and certainty. These notions are applied to a medical
monitoring and diagnosis problem where a dynamic Bayesian network is used to
model time series of observations and evolving states. The model aims at giving
a daily diag...
#Telemedicine #Biomedical monitoring #Medical diagnostic imaging #Patient monitoring #Bayesian methods #Diseases #Intelligent sensors #Sensor systems #Humans #Noise reduction