Information fusion for image analysis: geospatial foundations for higher-level fusion Tập 1 - Trang 562-569 vol.1
A.M. Waxman, D.A. Fay, B.J. Rhodes, T.S. McKenna, R.T. Ivey, N.A. Bomberger, V.K. Bykoski, G.A. Carpenter
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...... hiện toàn bộ
#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
W.C. Torrez, D. Bamber, I.R. Goodman, H.T. Nguyen
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" (...... hiện toàn bộ
#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
A. Doucet, B.-N. Vo, C. Andrieu, M. Davy
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
Spiral bevel gear damage detection using decision fusion analysis Tập 1 - Trang 94-100 vol.1
P.J. Dempsey, R.F. Handschuh, A.A. Afjeh
A diagnostic tool for detecting damage to spiral bevel gears was developed. Two different monitoring technologies, oil debris analysis and vibration, were integrated using data fusion into a health monitoring system for detecting surface fatigue pitting damage on gears. This integrated system showed improved detection and decision-making capabilities as compared to using individual monitoring tech...... hiện toàn bộ
#Spirals #Gears #Monitoring #Petroleum #Fatigue #Space technology #Testing #Performance evaluation #Vibration measurement #Decision making
Fusing cortex transform and intensity based features for image texture classification Tập 2 - Trang 1463-1469 vol.2
Md. Khayrul Bashar, N. Ohnishi
This paper proposes a new scheme of fusing cortex transform and brightness based features obtained by local windowing operation. Energy features are obtained by applying popular cortex transform technique within a sliding window rather than the conventional way, while we define three features namely directional surface density (DSD), normalised sharpness index (NSI), and normalized frequency index...... hiện toàn bộ
#Image texture #Brightness #Robustness #Density measurement #Energy measurement #Frequency measurement #Tagging #Image databases #Spatial databases #Symmetric matrices
Cramer-Rao bounds for non-linear filtering with measurement origin uncertainty Tập 1 - Trang 18-25 vol.1
M.L. Hernandez, A.D. Marrs, N.J. Gordon, S.R. Maskell, C.M. Reed
We are concerned with the problem of tracking a single target using multiple sensors. At each stage the measurement number is uncertain and measurements can either be target generated or false alarms. The Cramer-Rao bound gives a lower bound on the performance of any unbiased estimator of the target state. In this paper we build on earlier research concerned with calculating Posterior Cramer-Rao b...... hiện toàn bộ
#Measurement uncertainty #Target tracking #Nonlinear filters #State estimation #Particle measurements #Maximum likelihood detection #Information filtering #Information filters #Bayesian methods #Motion estimation
Fuzzy multiple model tracking algorithm for manoeuvring target Tập 2 - Trang 818-823 vol.2
Dongguang Zuo, Chongzhao Han, Zheng Lin, Hongyan Zhu, Han Hong
This paper develops a tracking algorithm for maneuvering target based on fuzzy logic inference (FMMTA). In place of the model probability computed intricately in the IMM, filtering measurement innovations are tackled with the innovation covariance, and the results are used as the input to a fuzzy inference system to get the matched degrees for each filtering model in the model set designed. With t...... hiện toàn bộ
#Target tracking #Fuzzy logic #Inference algorithms #Matched filters #Filtering #Technological innovation #Uncertainty #Additive noise #Noise measurement #Testing
Target association using harmonic frequency tracks Tập 2 - Trang 860-864 vol.2
H. Hurd, Tien Pham
In this paper we show the potential of using frequency tracks developed from separated sensors and from multiple harmonics as a basis for correlation between the received signals. Significant correlation is consistent with source commonality, the received signals having originated from the same source, but practical effectiveness will depend on false alarm rates, an issue not addressed. The source...... hiện toàn bộ
#Target tracking #Power harmonic filters #Frequency estimation #Signal to noise ratio #Acoustic sensors #Delay estimation #Signal processing #Trajectory #Acoustic signal processing #Frequency modulation
Optimization of distributed detection networks with tree structures Tập 1 - Trang 164-169 vol.1
Ming Xiang, Chongzhao Han
This paper considers the optimization of tree networks consisting of N nodes under Bayesian criterion. To optimize the system performance, the decision rules at each node must be optimized simultaneously. When the sensors are conditionally independent, it can be shown that the optimal decision rules at each node can be reduced to likelihood ratio tests, and the necessary conditions for the optimum...... hiện toàn bộ
#Tree data structures #Testing #Sensor fusion #Bayesian methods #Sensor systems #System performance #Design optimization #Tree graphs #Costs #Telecommunication network reliability
Công nghệ hội tụ thông tin: tổng quan về kiến trúc cấp cao Dịch bởi AI Tập 1 - Trang 680-686 vol.1
J. Salerno
Trong suốt thập kỷ qua, thuật ngữ Hội tụ đã trở thành đồng nghĩa với nhận thức về chiến thuật hoặc không gian tác chiến sau khi xung đột đã bắt đầu. Do đó, công việc đã tập trung vào việc nhận dạng đối tượng, các thuật toán theo dõi và việc sử dụng nhiều nguồn để giảm thiểu độ không chắc chắn và tối đa hóa sự bao phủ. Khi nhiều tình huống diễn ra trên toàn thế giới, những quyết định chiến lược thô...... hiện toàn bộ
#Phòng thí nghiệm #Độ không chắc chắn #Công nghệ thông tin #Đánh giá trạng thái #Giám sát #Các sáng kiến nghiên cứu #Nhân sự