Dr. Eugene M. Lavely Profile

Dr. Eugene M. Lavely

at BAE Systems

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 7 May 2007 Paper

Score-based SAR ATR performance model with operating condition dependencies

Vladimir Kaufman, Timothy Ross, Eugene Lavely, Erik Blasch

Proceedings Volume 6568, 65680Z (2007) https://doi.org/10.1117/12.719426

KEYWORDS: Automatic target recognition, Performance modeling, Data modeling, Synthetic aperture radar, System on a chip, Detection and tracking algorithms, Databases, Statistical modeling, Algorithm development, Systems modeling

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Proceedings Article | 17 May 2006 Paper

Model-based, multi-sensor fusion and bundle adjustment for image registration and target recognition

Eugene Lavely, Misha Barmin, Vladimir Kaufman, Erik Blasch

Proceedings Volume 6237, 62370R (2006) https://doi.org/10.1117/12.665795

KEYWORDS: Sensors, Data modeling, Synthetic aperture radar, Image sensors, Image registration, Model-based design, Automatic target recognition, Image fusion, Statistical modeling, Systems modeling

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Proceedings Article | 19 May 2005 Paper

Fidelity score for ATR performance modeling

Erik Blasch, Eugene Lavely, Tim Ross

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.604254

KEYWORDS: Performance modeling, Data modeling, Sensors, Automatic target recognition, Systems modeling, Mathematical modeling, Monte Carlo methods, Algorithm development, Synthetic aperture radar, Diffractive optical elements

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Proceedings Article | 2 September 2004 Paper

Feature association and occlusion model estimation for synthetic aperture radar

Eugene Lavely, Peter Weichman

Proceedings Volume 5427, (2004) https://doi.org/10.1117/12.555516

KEYWORDS: Data modeling, Synthetic aperture radar, Scattering, Detection and tracking algorithms, Automatic target recognition, Algorithm development, Genetic algorithms, Radar, Super resolution, Reflectivity

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Proceedings Article | 12 September 2003 Paper

Model-based and data-based approaches for ATR performance prediction

Eugene Lavely, Peter Weichman

Proceedings Volume 5095, (2003) https://doi.org/10.1117/12.487230

KEYWORDS: Data modeling, Performance modeling, Automatic target recognition, Detection and tracking algorithms, Synthetic aperture radar, Model-based design, Systems modeling, Monte Carlo methods, Sensors, Feature extraction

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Proceedings Article | 11 September 2003 Paper

Study of inverse problems for buried UXO discrimination based on EMI sensor data

Peter Weichman, Eugene Lavely

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.487145

KEYWORDS: Data modeling, Sensors, Inverse problems, Genetic algorithms, Magnetic sensors, Electromagnetic coupling, Transmitters, Scattering, Genetics, Detection and tracking algorithms

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Proceedings Article | 25 August 2003 Paper

Performance prediction model for road-constrained multiple target tracking

Pablo Arambel, Eugene Lavely, Herbert Landau

Proceedings Volume 5096, (2003) https://doi.org/10.1117/12.487074

KEYWORDS: Roads, Principal component analysis, Monte Carlo methods, Performance modeling, Target detection, Sensors, Detection and tracking algorithms, Error analysis, Systems modeling, Matrices

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Proceedings Article | 27 August 2001 Paper

ATR complexity and template set size

Eric Freudenthal, Eugene Lavely, William Pierson, Mariam Argyle, Joshua Fishman

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438221

KEYWORDS: Detection and tracking algorithms, Automatic target recognition, Synthetic aperture radar, Software, Databases, Algorithm development, Binary data, Target recognition, Algorithms, Solid modeling

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Proceedings Article | 2 August 1999 Paper

Development of a handheld mine detection system using a magnetoresistive sensor array

Richard Wold, Catherine Nordman, Eugene Lavely, Mark Tondra, Erik Lange, Mark Prouty

Proceedings Volume 3710, (1999) https://doi.org/10.1117/12.356984

KEYWORDS: Sensors, Land mines, Magnetic sensors, Magnetism, Resistance, Electronics, Data modeling, Metals, Silicon, Digital signal processing

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Showing 5 of 9 publications

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