Prof. Aaron D. Lanterman Profile

Prof. Aaron D. Lanterman

Assistant Professor at Georgia Institute of Technology

SPIE Involvement:

Author

Publications (30)

SPIE Journal Paper | 1 August 2011

Minimum description length approach to detecting chemicals via their Raman spectra

Ryan Palkki, Aaron Lanterman

OE, Vol. 50, Issue 08, 083601, (August 2011) https://doi.org/10.1117/12.10.1117/1.3609805

KEYWORDS: Raman spectroscopy, Chemical analysis, Data modeling, Detection and tracking algorithms, Sensors, Optical engineering, Target detection, Statistical modeling, Expectation maximization algorithms, Charge-coupled devices

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SPIE Journal Paper | 1 November 2010

Chemical mixture estimation under a Poisson Raman spectroscopy model

Ryan Palkki, Aaron Lanterman

OE, Vol. 49, Issue 11, 113601, (November 2010) https://doi.org/10.1117/12.10.1117/1.3506203

KEYWORDS: Raman spectroscopy, Chemical analysis, Data modeling, Charge-coupled devices, Sensors, Optical engineering, Expectation maximization algorithms, Detection and tracking algorithms, Signal to noise ratio, Mathematical modeling

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Proceedings Article | 5 May 2010 Paper

A non-negative matrix factorization algorithm for the detection of chemicals from an incomplete Raman library

Ryan Palkki, Aaron Lanterman

Proceedings Volume 7665, 766519 (2010) https://doi.org/10.1117/12.850644

KEYWORDS: Detection and tracking algorithms, Chemical analysis, Raman spectroscopy, Data modeling, Expectation maximization algorithms, Charge-coupled devices, Target detection, Molecules, Sensors, Computer simulations

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Proceedings Article | 16 April 2010 Paper

Identifying chemicals from their Raman spectra using minimum description length

Ryan Palkki, Aaron Lanterman

Proceedings Volume 7698, 769807 (2010) https://doi.org/10.1117/12.850613

KEYWORDS: Raman spectroscopy, Chemical analysis, Data modeling, Detection and tracking algorithms, Sensors, Expectation maximization algorithms, Charge-coupled devices, Molecules, Target detection, Statistical modeling

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Proceedings Article | 18 May 2006 Paper

Toward practical pattern-theoretic ATR algorithms for infrared imagery

Jason Dixon, Aaron Lanterman

Proceedings Volume 6234, 62340R (2006) https://doi.org/10.1117/12.674810

KEYWORDS: Forward looking infrared, Automatic target recognition, Target detection, Detection and tracking algorithms, Infrared imaging, Infrared radiation, Sensors, Data modeling, Diffusion, Thermal modeling

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Proceedings Article | 18 May 2006 Paper

Information-theoretic bounds on target recognition performance from laser radar data

Jason Dixon, Aaron Lanterman

Proceedings Volume 6234, 623419 (2006) https://doi.org/10.1117/12.674811

KEYWORDS: LIDAR, Sensors, Detection and tracking algorithms, Automatic target recognition, Target recognition, Image resolution, Statistical analysis, Algorithm development, OpenGL, Receivers

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Proceedings Article | 19 May 2005 Paper

Assessing the performance of a covert automatic target recognition algorithm

Lisa Ehrman, Aaron Lanterman

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.607440

KEYWORDS: Radar, Automatic target recognition, Monte Carlo methods, Detection and tracking algorithms, Receivers, Target recognition, Target detection, Binary data, Signal to noise ratio, Fiber optic illuminators

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Proceedings Article | 19 May 2005 Paper

Multiple target tracking with symmetric measurement equations revisited: unscented Kalman filters, particle filters, and Taylor series expansions

William Leven, Aaron Lanterman

Proceedings Volume 5810, (2005) https://doi.org/10.1117/12.607412

KEYWORDS: Particle filters, Filtering (signal processing), Nonlinear filtering, Electronic filtering, Error analysis, Detection and tracking algorithms, Particles, Algorithm development, Software development, Samarium

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Proceedings Article | 21 September 2004 Paper

A robust algorithm for automated target recognition using precomputed radar cross sections

Lisa Ehrman, Aaron Lanterman

Proceedings Volume 5426, (2004) https://doi.org/10.1117/12.540344

KEYWORDS: Detection and tracking algorithms, Radar, Automatic target recognition, Receivers, Monte Carlo methods, Target recognition, Target detection, Matrices, Transmitters, Algorithm development

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Proceedings Article | 2 September 2004 Paper

Region-enhanced imaging for sparse-aperture passive radar

Mujdat Cetin, Aaron Lanterman

Proceedings Volume 5427, (2004) https://doi.org/10.1117/12.543938

KEYWORDS: Radar, Radar imaging, Synthetic aperture radar, Televisions, Transmitters, Receivers, Reconstruction algorithms, Image acquisition, Data modeling, Fourier transforms

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Proceedings Article | 9 August 2004 Paper

Multitarget tracking using multiple bistatic range measurements with probability hypothesis densities

Martin Tobias, Aaron Lanterman

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.544027

KEYWORDS: Particles, Signal to noise ratio, Radar, Receivers, Transmitters, Expectation maximization algorithms, Particle filters, Target detection, Antennas, Sensors

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Proceedings Article | 16 September 2003 Paper

Automated target recognition using passive radar and coordinated flight models

Lisa Ehrman, Aaron Lanterman

Proceedings Volume 5094, (2003) https://doi.org/10.1117/12.488039

KEYWORDS: Radar, Automatic target recognition, Target recognition, Receivers, Antennas, Databases, Signal to noise ratio, Systems modeling, Detection and tracking algorithms, Transmitters

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Proceedings Article | 25 August 2003 Paper

Sampling from multitarget Bayesian posteriors for random sets via jump-diffusion processes

Aaron Lanterman

Proceedings Volume 5096, (2003) https://doi.org/10.1117/12.488730

KEYWORDS: Detection and tracking algorithms, Diffusion, Target detection, Target recognition, Sensors, Automatic target recognition, Filtering (signal processing), Signal processing, Monte Carlo methods, Data modeling

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Proceedings Article | 1 August 2002 Paper

Deconvolution techniques for passive radar imaging

Aaron Lanterman, David Munson

Proceedings Volume 4727, (2002) https://doi.org/10.1117/12.478688

KEYWORDS: Deconvolution, Radar imaging, Radar, Radio astronomy, Detection and tracking algorithms, Synthetic aperture radar, Fiber optic illuminators, Televisions, FM band, Fourier transforms

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Proceedings Article | 22 October 2001 Paper

ATR applications of minimax entropy models of texture and shape

Song-Chun Zhu, Alan Yuille, Aaron Lanterman

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445408

KEYWORDS: Automatic target recognition, Infrared radiation, Infrared imaging, Visualization, Detection and tracking algorithms, Machine vision, Computer vision technology, Image filtering, Information theory, Systems modeling

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Proceedings Article | 27 August 2001 Paper

Efficient implementation of an expectation-maximization algorithm for imaging diffuse radar targets

Aaron Lanterman

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438238

KEYWORDS: Expectation maximization algorithms, Radar imaging, Reflectivity, Matrices, Radar, Scattering, Detection and tracking algorithms, Matrix multiplication, Doppler effect, MATLAB

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SPIE Journal Paper | 1 August 2001

Jump-diffusion algorithm for multiple target recognition using laser radar range data

Aaron Lanterman

OE, Vol. 40, Issue 08, (August 2001) https://doi.org/10.1117/12.10.1117/1.1387279

KEYWORDS: LIDAR, Sensors, Detection and tracking algorithms, Data modeling, Diffusion, Forward looking infrared, Automatic target recognition, Target recognition, Monte Carlo methods, Scene simulation

Proceedings Article | 24 August 2000 Paper

Statistical radar imaging of diffuse and specular targets using an expectation-maximization algorithm

Aaron Lanterman

Proceedings Volume 4053, (2000) https://doi.org/10.1117/12.396350

KEYWORDS: Expectation maximization algorithms, Radar imaging, Radar, Optical spheres, Scattering, Data modeling, Statistical analysis, Algorithm development, Detection and tracking algorithms, Doppler effect

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Proceedings Article | 17 August 2000 Paper

ATR performance of a Rician model for SAR images

Michael DeVore, Aaron Lanterman, Joseph O'Sullivan

Proceedings Volume 4050, (2000) https://doi.org/10.1117/12.395589

KEYWORDS: Synthetic aperture radar, Data modeling, Detection and tracking algorithms, Performance modeling, Automatic target recognition, Error analysis, Expectation maximization algorithms, Databases, Target recognition, System on a chip

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SPIE Journal Paper | 1 May 2000

Bayesian inference of thermodynamic state incorporating Schwarz-Rissanen complexity for infrared target recognition

Aaron Lanterman

OE, Vol. 39, Issue 05, (May 2000) https://doi.org/10.1117/12.10.1117/1.602512

KEYWORDS: Thermodynamics, Data modeling, Sensors, Bayesian inference, Infrared radiation, Principal component analysis, Target recognition, Automatic target recognition, 3D modeling, Optical engineering

SPIE Journal Paper | 1 December 1999

Kullback-Leibler distances for quantifying clutter and models

Aaron Lanterman, Joseph O'Sullivan, Michael Miller

OE, Vol. 38, Issue 12, (December 1999) https://doi.org/10.1117/12.10.1117/1.602323

KEYWORDS: Data modeling, Performance modeling, Systems modeling, Automatic target recognition, Target detection, Sensors, Optical engineering, Solids, Monte Carlo methods, Model-based design

Proceedings Article | 24 August 1999 Paper

Efficient estimation of thermodynamic state incorporating Bayesian model order selection

Aaron Lanterman, Matthew Cooper, Michael Miller

Proceedings Volume 3718, (1999) https://doi.org/10.1117/12.359939

KEYWORDS: Data modeling, Thermodynamics, Sensors, Target recognition, Principal component analysis, 3D modeling, Infrared radiation, Silicon, Visualization, Automatic target recognition

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Proceedings Article | 15 July 1999 Paper

Tracking and recognition of airborne targets via commercial television and FM radio signals

Aaron Lanterman

Proceedings Volume 3692, (1999) https://doi.org/10.1117/12.352861

KEYWORDS: Target recognition, Televisions, Detection and tracking algorithms, Radar, FM band, Doppler effect, Sensors, Electronic filtering, Filtering (signal processing), Nonlinear filtering

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Proceedings Article | 18 September 1998 Paper

Minimum description length understanding of infrared scenes

Aaron Lanterman

Proceedings Volume 3371, (1998) https://doi.org/10.1117/12.323855

KEYWORDS: Data modeling, Thermodynamics, Infrared radiation, Automatic target recognition, Sensors, Detection and tracking algorithms, Infrared imaging, Computer simulations, 3D modeling, Target recognition

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Proceedings Article | 23 June 1997 Paper

Representations of shape for structural inference in infrared scenes