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A multi-mission unattended ground sensor

A multi-mission unattended ground sensor

引用

conference on Unattended Ground sensor Technologies and applications IV

作者： Prado, G Succi, G Fitzgerald, J Clapp, D Gampert, R Martel, PO SenTech Inc Stoneham MA 02180 USA

ISBN: (纸本)0819444936

Technological advances in a number of fields have allowed SenTech to develop a highly capable Unattended Ground sensor (UGS) able to perform a number of critical missions such as ground and air vehicle surveillance, personnel detection and tracking and sniper localization. SenTech employs advanced signal processing techniques to detect, track and identify ground combat vehicles. Processing is done in a highly integrated processing module developed under DARPA's IUGS program. System integration to achieve a three-pound unit with a 15-day field life and long range VHF communications has been developed at SenTech. The first units of these sensors will be delivered in the first quarter of 2002. Extensive testing of the algorithms and software has been conducted over the last few years at a variety of government-sponsored tests and demonstrations. A Gateway unit has been developed which can manage the operation of an eight-sensor field and perform two-dimensional sensor fusion.

关键词： Unattended Ground sensor acoustic seismic detection localization classification

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Next Generation Technologies to Enable sensor Networks

Next Generation Technologies to Enable Sensor Networks

引用

First IEEE International conference on sensors - IEEE sensors 2002

作者： Martinez, David R. Gruber, Michael MIT Lincoln Laboratory Lexington MA United States

Over the last decade there have been significant advances in digital signal processing algorithms and techniques. Examples are advances in ground moving target indicator (GMTI) processing, space-time adaptive processing (STAP), target discrimination, and electronic countercountermeasures (ECCM). All these advances have improved the capabilities of radar sensors. Major improvements expected in the next several years will come from exploiting collaborative network-centric architectures to leverage synergies among individual sensors. Such an approach has become feasible as a result of major advances in network computing, as well as communication technologies in both wireless and fiber networks. The exponential growth of digital technology, together with highly capable networks, enable in-depth exploitation of sensor synergy, including multi-aspect sensing, for example, to accurately locate and characterize mobile targets. Recently, new signal processing algorithms exploiting multi-sensor data have been demonstrated in non-real-time, achieving improved performance against surface mobile targets by leveraging high-speed sensor networks. The paper describes a system architecture, computing and communication technologies, and experiments designed to demonstrate a significant advancement in exploiting complex ground moving target indicator (GMTI) and synthetic aperture radar (SAR) data to accurately geo-locate and identify mobile targets.

关键词： sensor data fusion

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A multi-mission unattended ground sensor for law enforcement applications

A multi-mission unattended ground sensor for law enforcement...

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conference on sensors, and Command, Control, Communications, and Intelligence (C31) Technologies for Homeland Defense and Law Enforcement

作者： Prado, G Succi, G Fitzgerald, J Sentech Inc Stoneham MA 02180 USA

ISBN: (纸本)0819444588

Technological advances in a number of fields have allowed SenTech to develop a highly capable Unattended Ground sensor (UGS) able to perform a number of critical missions such as ground and air vehicle surveillance, personnel detection and tracking and sniper localization. These sensors have also been combined with electrooptic sensors to provide target images and improved tracking accuracy. Processing is done in a highly integrated processing module developed under DARPA's lUGS program. Acoustic sensors have been engineered to achieve a three-pound unit with a 15 day field life and long range VHF communications. These sensors will be delivered in early 2002 for testing during field exercises. Extensive testing of the algorithms and software has been conducted over the last few years at a variety of government-sponsored tests and demonstrations. A Gateway unit has been developed which can manage the operation of an eight-sensor field and perform two-dimensional sensor fusion.

关键词： Unattended Ground sensor acoustic seismic electro-optic thermal imagers detection localization classification

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Scalable distributed data fusion

Scalable distributed data fusion

引用

International conference on Information fusion

作者： D. Nicholson C.M. Lloyd S.J. Julier J.K. Uhlmann Advanced Technology Center BAE SYSTEMS Bristol UK Naval Research Laboratory Inc. Washington D.C. DC USA Department Computer Engineering University of Missouri Columbia MO USA

ISBN: (纸本)0972184414

Measurement and track fusion in decentralised sensor network architectures is investigated. The investigation employs FLAMES/sup TM/, an advanced military scenario generator. This was specifically customised for distributed data fusion experiments and involves a model of the delays in a realistic communication system. Here the delays were used to modify communication bandwidth and evaluate how this affected the performance of the fusion architectures/algorithms. Under certain scenario conditions, it was found that the decentralised measurement fusion system was severely affected by reduced bandwidth. This is because it does not scale: each node loads its communication buffer with every measurement and consequently some measurements are never transmitted. The decentralised track fusion system is a better performer because it does scale: measurements are fused into tracks prior to transmission and thereby more effective use of bandwidth is made. Moreover, it was found that a partially connected decentralised track fusion system achieved almost optimal fused track performance.

关键词： Bandwidth Military computing sensor fusion Computer networks Laboratories sensor systems Computer architecture fusion power generation Delay systems Data processing

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A statistical signal processing approach to image fusion for concealed weapon detection

A statistical signal processing approach to image fusion for...

引用

IEEE International conference on Image Processing

作者： J. Yang R.S. Blum EeE Department Lehigh University Bethlehem PA USA EeE Department Lehigh University Bethlehem PA

A statistical signal processing approach to multisensor image fusion is presented for concealed weapon detection (CWD). This approach is based on an image formation model in which the sensor images are described as the true scene corrupted by additive non-Gaussian distortion. The expectation-maximization (EM) algorithm is used to estimate the model parameters and the fused image. We demonstrate the efficiency of this approach by applying this method to fusion of visual and non-visual images with emphasis on CWD applications.

关键词： Signal processing Image fusion Weapons Image sensors sensor fusion Iterative algorithms Signal processing algorithms Layout Parameter estimation Estimation theory

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Support for reliability in self-organizing sensor networks

Support for reliability in self-organizing sensor networks

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International conference on Information fusion

作者： A. Lim Department of Computer Science and Engineering Aubum University Auburn USA

As wireless sensor networks are becoming increasingly common, distributed embedded applications will exploit these sensor networks not only for information dissemination, but also for in-network processing and other distributed computation, such as sensor fusion, classification, and collaborative target tracking. However, sensor nodes are prone to failure, insufficient energy supply, high error rate, and mobility. Three main distributed services are important for maintaining reliability in distributed sensor network, in spite of these failures - distributed lookup services, composition service and dynamic adaptation service. In particular, the dynamic adaptation service collaborates with the distributed lookup service to monitor failures in the sensor nodes and manages the correct schedule of procedures for recovering from the failure. Developers may define their own detection algorithms for other changes, including available services in the sensor network, migration of sensor nodes, and changes in task and network requirements. The procedures for maintaining the level of reliability required for the application are specified by the application programmers. These distributed services execute over a diffusion network layer that alleviate some of the problems of mobility, disconnection, dynamic reconfiguration, and limited power.

关键词： Wireless sensor networks sensor fusion Collaboration Maintenance Computer networks Distributed computing Embedded computing Target tracking Error analysis Condition monitoring

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Multiple sensor image registration, image fusion and dimension reduction of Earth science imagery

Multiple sensor image registration, image fusion and dimensi...

引用

International conference on Information fusion

作者： J. Le Moigne A. Cole-Rhodes R. Eastman T. El-Ghazawi K. Johnson S. Knewpijit N. Laporte J. Morisette N.S. Netanyahu H.S. Stone I. Zavorin Applied Information Science Branch NASA Gcddard Space Flight Center Greenbelt MD NASA Goddard Space Flight Center Applied Information Science Branch Greenbelt MD

The goal of our project is to develop and evaluate image analysis methodologies for use on the ground or on-board spacecraft particularly spacecraft constellations. Our focus is on developing methods to perform automatic registration and fusion of multisensor data representing multiple spatial, spectral and temporal resolutions, as well as dimension reduction of hyperspectral data. Feature extraction methods such as wavelet decomposition, edge detection and mutual information are combined with feature matching methods such as cross-correlation, optimization, and statistically robust techniques to perform image registration. The approach to image fusion is application-based and involves wavelet decomposition, dimension reduction, and classification methods. Dimension reduction is approached through novel methods based on principal component analysis and wavelet decomposition, and implemented on Beowulf-type parallel architectures. Registration algorithms are tested and compared on several multi-sensor datasets, including one of the EOS Core Sites, the Konza Prairie in Kansas, utilizing four different sensors: IKONOS, Landsat-7/ETM+, MODIS, and SeaWIFS. fusion methods are tested using Landsat, MODIS and SAR or JERS data. Dimension reduction is demonstrated on A VIRIS hyperspectral data.

关键词： Image sensors sensor fusion Image registration Image fusion Geoscience Hyperspectral sensors Image edge detection Space vehicles Hyperspectral imaging Testing

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Neural networks estimation of truck static weights by fusing weight-in-motion data

Neural networks estimation of truck static weights by fusing...

引用

International conference on Information fusion

作者： M. Mangeas S. Glaser V. Dolcemascolo LIVIC Satory France DESE Paris France

This paper presents a complete neural networks approach developed to improve the accuracy of multiple-sensor Weigh-In-Motion system. This system consists in fusing the dynamical measurements of individual sensors installed in the road, into one improved estimate of static gross or axle weight. This task is complex due to the difficulty to inverse the model that describes the dynamical vehicle-pavement interactions. The sensors are also difficult to calibrate and remain sensitive to the environmental conditions. We chose to model the data with neural networks named 'general feedforward neural networks'. This class of neural nets includes in particular the famous Multilayer Perceptron model used in many applications. In order to increase the accuracy and the generalization capacity of this neural model, we also use an automatic method of model selection based on genetic algorithms. Simulated traffic data, computed with a realistic model based on vehicle-pavement interaction, indicated that a neural network can produce results with a higher degree of accuracy than the simple linear regression method. Moreover, our results show that the fusion of several sensors significantly improved the estimation of the static weight, much more in the frame of non linear modeling than in the frame of linear one. In our simulation, the optimal number of sensors to fuse stands around 7.

关键词： Neural networks Feedforward neural networks sensor fusion sensor systems Roads Axles Inverse problems Multi-layer neural network Multilayer perceptrons Genetic algorithms

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sensor fusion: architectures, algorithms, and applications V : 7-9 April 1999, Orlando, Florida / Belur V. Dasarathy, chair/editor;sponsored and published by SPIE--the International Society for Opti

Sensor fusion: architectures, algorithms, and applications V...

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2001年

作者： Belur V. Dasarathy chair/editor sponsored and published by SPIE--the International Society for Optical Engineering.

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Information fusion concepts. From information elements definition to the application of fusion approaches

Information fusion concepts. From information elements defin...

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conference on sensor fusion - architectures, algorithms, and applications V

作者： Solaiman, B Ecole Natl Super Telecommun Bretagne Dept ITI F-29285 Brest France

ISBN: (纸本)0819440809

The aim of this gaper is to give a homogeneous and a simple framework in order to present information fusion concepts. The main concept presented here concerns the definition of the information element concept This concept is then illustrated through the general scheme of pattern recognition systems. Different types of information imperfection are then illustrated. Finally, information fusion concepts and fusion architectures are illustrated

关键词： information element data fusion decision fusion model fusion

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