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Aerospace and Electronic Systems Magazine, IEEE

Issue 7 • Date July 2010

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Displaying Results 1 - 18 of 18
  • [Front cover]

    Page(s): c1
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  • Blank page

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  • Welcome to AESS tutorial V

    Page(s): 1 - 4
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  • A tutorial overview of anomaly detection in hyperspectral images

    Page(s): 5 - 28
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    In this paper, a tutorial overview on anomaly detection for hyperspectral electro-optical systems is presented. This tutorial is focused on those techniques that aim to detect small man-made anomalies typically found in defense and surveillance applications. Since a variety of methods have been proposed for detecting such targets, this tutorial places emphasis on the techniques that are either mathematically more tractable or easier to interpret physically. These methods are not only more suitable for a tutorial publication, but also an essential to a study of anomaly detection. Previous surveys on this subject have focused mainly on anomaly detectors developed in a statistical framework and have been based on well-known background statistical models. However, the most recent research trends seem to move away from the statistical framework and to focus more on deterministic and geometric concepts. This work also takes into consideration these latest trends, providing a wide theoretical review without disregarding practical recommendations about algorithm implementation. The main open research topics are addressed as well, the foremost being algorithm optimization, which is required for embodying anomaly detectors in real-time systems. View full abstract»

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  • On Bayesian tracking and data Fusion: A tutorial introduction with examples

    Page(s): 29 - 52
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    This tutorial paper provides a short introduction to selected aspects of sensor data fusion by discussing characteristic examples. We consider three cases when fusion of sensor data is important: when emphasis is placed on data produced at different instants of time (i.e., target tracking), when data being collected from different sensor sources are important, and when we have data with background information on the sensor performance as well as data with nonsensor context information. The feedback from data processing to the data acquisition process is illustrated by a sensor management example. View full abstract»

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  • Particle filter theory and practice with positioning applications

    Page(s): 53 - 82
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    The particle filter (PF) was introduced in 1993 as a numerical approximation to the nonlinear Bayesian filtering problem, and there is today a rather mature theory as well as a number of successful applications described in literature. This tutorial serves two purposes: to survey the part of the theory that is most important for applications and to survey a number of illustrative positioning applications from which conclusions relevant for the theory can be drawn. The theory part first surveys the nonlinear filtering problem and then describes the general PF algorithm in relation to classical solutions based on the extended Kalman filter (EKF) and the point mass filter (PMF). Tuning options, design alternatives, and user guidelines are described, and potential computational bottlenecks are identified and remedies suggested. Finally, the marginalized (or Rao-Blackwellized) PF is overviewed as a general framework for applying the PF to complex systems. The application part is more or less a stand-alone tutorial without equations that does not require any background knowledge in statistics or nonlinear filtering. It describes a number of related positioning applications where geographical information systems provide a nonlinear measurement and where it should be obvious that classical approaches based on Kalman filters (KFs) would have poor performance. All applications are based on real data and several of them come from real-time implementations. This part also provides complete code examples. View full abstract»

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  • Blank page

    Page(s): 84
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  • Tutorial I [Part 2, IEEE Aerospace and Electronic Systems Magazine, Jan 2004]

    Page(s): 85
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    Page(s): 86
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  • Tutorial II [Part 2, IEEE Aerospace and Electronic Systems Magazine, Aug 2005]

    Page(s): 87 - 89
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    Page(s): 90
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  • Tutorial III [Part 2, IEEE Aerospace and Electronic Systems Magazine, June 2006]

    Page(s): 91
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    Page(s): 92
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  • Tutorial IV [Part 2, IEEE Aerospace and Electronic Systems Magazine, Sept 2007]

    Page(s): 93 - 95
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  • IEEE AESS Publications Board [Inside back cover]

    Page(s): c3
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  • Back cover

    Page(s): c4
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Aims & Scope

The IEEE Aerospace and Electronic Systems Magazine publishes articles and tutorials concerned with the various aspects of systems for space, air, ocean, or ground environments.

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Editor-in-Chief
Teresa Pace, PhD EE
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