Data Fusion Research Papers - Academia.edu (original) (raw)
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This paper describes a phased incremental integration approach for application of image analysis and data fusion technologies to provide automated intelligent target tracking and identification for airborne surveillance on board an Aurora... more
This paper describes a phased incremental integration approach for application of image analysis and data fusion technologies to provide automated intelligent target tracking and identification for airborne surveillance on board an Aurora Maritime Patrol Aircraft. The sensor suite of the Aurora consists of a radar, an identification friend or foe (IFF) system, an electronic support measures (ESM) system, a spotlight
We provide a novel framework based on a systematic treatment of data inconsistency and the related concept of data reliability in integrated databases. Our main contribution is the formalization of reliability assessment for historical... more
We provide a novel framework based on a systematic treatment of data inconsistency and the related concept of data reliability in integrated databases. Our main contribution is the formalization of reliability assessment for historical data where redundancy and inconsistency are common. We discover data inconsistency through the analysis of relationships between existing reports in the integrated database. We present a new approach by defining properties (rules) that a good measure of reliability should satisfy. We then propose such measures and show which properties they satisfy. We also report on a simulation-based study of the introduced framework.
The two objectives of this study are to compare the performances of different data fusion techniques for the enhancement of urban features and subsequently to improve urban land cover types classification using a refined Bayesian... more
The two objectives of this study are to compare the performances of different data fusion techniques for the enhancement of urban features and subsequently to improve urban land cover types classification using a refined Bayesian classification. For the data fusion, wavelet-based fusion, Brovey transform, Elhers fusion and principal component analysis are used and the results are compared. The refined Bayesian
The knowledge of patient neuro-anatomy is key information, at least in the understanding of the pathological processes and in the elaboration of precise treatment strategies in neurosurgery. In addition to classical radiology systems like... more
The knowledge of patient neuro-anatomy is key information, at least in the understanding of the pathological processes and in the elaboration of precise treatment strategies in neurosurgery. In addition to classical radiology systems like angiography, CT scanner or MRI have greatly contributed to the improvement of the patient anatomy investigation. Each examination modality still carries its own information and the
- by Eyad Fadda and +1
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- Relational Database, Remote Sensing, Land Cover, Data Fusion
—The concept of information fusion has gained a widespread interest in many fields due to its complementary properties. It makes systems more robust against uncertainty. This paper presents a new approach for the well logging estimation... more
—The concept of information fusion has gained a widespread interest in many fields due to its complementary properties. It makes systems more robust against uncertainty. This paper presents a new approach for the well logging estimation problem by using a fusion methodology. Natural gamma-ray tool (NGT) is considered as an important instrument in the well logging. The NGT detects changes in natural radioactivity emerging from the variations in concentrations of micronutrients as uranium (U), thorium (T h), and potassium (K). The main goal of this study is to have precise estimation of the concentrations of U , T h and K. Four types of Kalman filters are designed to estimate the elements using the NGT sensor. Then, a fusion of the Kalman filters is utilized into an integrated framework by ordered weighted averaging (OWA) operator to enhance the quality of the estimations. A real covariance of the output error based on innovation matrix is utilized to design weighting factors for the OWA operator. The simulation studies indicate not only a reliable performance of the proposed method as compared to the individual Kalman filters, but also a better response in contrast with previous fusion methodologies.
This paper presents a multisensor, multitarget tracking simulator TRACKER that can be used to demonstrate and evaluate airborne early warning and control surveillance systems. TRACKER is a Level 1 fusion surveillance software package that... more
This paper presents a multisensor, multitarget tracking simulator TRACKER that can be used to demonstrate and evaluate airborne early warning and control surveillance systems. TRACKER is a Level 1 fusion surveillance software package that generates a unified object state vector and its measure of uncertainty for each tracked object based on cluttered multitarget augmented (kinematic and discrete type) measurements from
- by Diane Tzanos and +1
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- Geophysics, Case Study, Product Development, Data Fusion
3. DATES COVERED (From - To) Aug 2006 Dec 2008 ... Blending Chem-Bio Dispersion Forecasts and Sensor Data ... 5a. CONTRACT NUMBER W911NF-06-C-0162 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER N/A ... 6. AUTHOR(S) Tarunraj Singh,... more
3. DATES COVERED (From - To) Aug 2006 Dec 2008 ... Blending Chem-Bio Dispersion Forecasts and Sensor Data ... 5a. CONTRACT NUMBER W911NF-06-C-0162 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT NUMBER N/A ... 6. AUTHOR(S) Tarunraj Singh, Peter ...
Metadata interoperability is crucial for various kinds of surveillance applications and systems, e.g. metadata mining in multi-sensor environments, metadata exchange in networked camera systems or information fusion in multi-sensor and... more
Metadata interoperability is crucial for various kinds of surveillance applications and systems, e.g. metadata mining in multi-sensor environments, metadata exchange in networked camera systems or information fusion in multi-sensor and multi-detector environments. Different metadata formats have been proposed to foster metadata interoperability, but they show significant limitations. ViPER, CVML and MPEG Visual Surveillance MAF support only the visual modality, CVML's
Development, calibration and alignment of a miniature magnetic and inertial measurement unit, which is used as an attitude and heading reference system, are presented. Several guidelines were followed during the design process to make the... more
Development, calibration and alignment of a miniature magnetic and inertial measurement unit, which is used as an attitude and heading reference system, are presented. Several guidelines were followed during the design process to make the magnetic and inertial measurement unit suitable for various kinds of applications, thus the system is designed both as small as possible but still modular, consisting