Dr. Steven K. Rogers Profile

Dr. Steven K. Rogers

USAF Sr. Scientist, ATR and Sensor Fusion at Air Force Research Lab

SPIE Involvement:

Track Chair | Author | Editor

Publications (70)

Proceedings Article | 12 May 2016 Paper

The QuEST for multi-sensor big data ISR situation understanding

Steven Rogers, Jared Culbertson, Mark Oxley, H. Scott Clouse, Bernard Abayowa, James Patrick, Erik Blasch, John Trumpfheller

Proceedings Volume 9831, 98310G (2016) https://doi.org/10.1117/12.2229722

KEYWORDS: Consciousness, Intelligence systems, Sensors, Data modeling, Visualization, Mathematical modeling, Machine learning, Cognitive modeling, Data processing, Algorithm development

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Proceedings Article | 14 May 2015 Paper

QuEST for malware type-classification

Sandra Vaughan, Robert Mills, Michael Grimaila, Gilbert Peterson, Mark Oxley, Thomas Dube, Steven Rogers

Proceedings Volume 9458, 945807 (2015) https://doi.org/10.1117/12.2176861

KEYWORDS: Cognitive modeling, Consciousness, Mathematical modeling, Artificial intelligence, Sensors, Phase modulation, Computer architecture, Systems modeling, Cognition, Distance measurement

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Proceedings Article | 20 May 2011 Paper

Categorification of the layered sensing construct

Kirk Sturtz, Jared Culbertson, Mark Oxley, Steven Rogers

Proceedings Volume 8059, 80590D (2011) https://doi.org/10.1117/12.886121

KEYWORDS: Sensors, Systems modeling, Mathematical modeling, Calcium, Mathematics, Situational awareness sensors, Computing systems, Cognitive modeling, Binary data, Sensing systems

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Proceedings Article | 17 May 2011 Paper

QUEST hierarchy for hyperspectral face recognition

David Ryer, Trevor Bihl, Kenneth Bauer, Steven Rogers

Proceedings Volume 8029, 80291M (2011) https://doi.org/10.1117/12.884082

KEYWORDS: Facial recognition systems, Image segmentation, Image fusion, Image processing, Detection and tracking algorithms, Skin, Feedback loops, Hyperspectral imaging, Visible radiation, Near infrared

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Proceedings Article | 20 May 2009 Paper

Using qualia and novel representations in malware detection

Bobby Birrer, Richard Raines, Rusty Baldwin, Mark Oxley, Steven Rogers

Proceedings Volume 7352, 73520W (2009) https://doi.org/10.1117/12.821082

KEYWORDS: Data modeling, Mathematical modeling, Intelligence systems, Computing systems, Systems modeling, Classification systems, Multilayers, Network security, Sensors, Viruses

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Proceedings Article | 2 May 2008 Paper

The life and death of ATR/sensor fusion and the hope for resurrection

Steven Rogers, Charles Sadowski, Kenneth Bauer, Mark Oxley, Matthew Kabrisky, Adam Rogers, Stephen Mott

Proceedings Volume 6967, 696702 (2008) https://doi.org/10.1117/12.783012

KEYWORDS: Sensors, Automatic target recognition, Data modeling, Sensor fusion, Systems modeling, Situational awareness sensors, Performance modeling, Synthetic aperture radar, Environmental sensing, Telecommunications

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Proceedings Article | 1 May 2008 Paper

A qualia representation of cyberspace

Timothy Lacey, Robert Mills, Richard Raines, Mark Oxley, Kenneth Bauer, Steven Rogers

Proceedings Volume 6964, 69640C (2008) https://doi.org/10.1117/12.783179

KEYWORDS: Sensors, Situational awareness sensors, Computing systems, Computer networks, Sensor technology, Space operations, Matrices, Analytical research, Ear, Intelligent sensors

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Proceedings Article | 15 March 2006 Paper

Measurement of colonic polyp size from virtual colonoscopy studies: comparison of manual and automated methods

Metin Gurcan, Randy Ernst, Aytekin Oto, Steve Worrell, Jeff Hoffmeister, Steve Rogers

Proceedings Volume 6144, 61445B (2006) https://doi.org/10.1117/12.653192

KEYWORDS: Image segmentation, 3D metrology, Virtual colonoscopy, 3D vision, Colon, Statistical methods, Computed tomography, Head, Databases, 3D image processing

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Proceedings Article | 27 July 1999 Paper

Model of human vision to register and fuse video imagery

John Keller, Stephen Matechik, Steven Rogers, Matthew Kabrisky

Proceedings Volume 3720, (1999) https://doi.org/10.1117/12.357177

KEYWORDS: Visualization, Video, Visual process modeling, Image processing, Image filtering, Data storage, Unmanned aerial vehicles, Image fusion, Eye, Retina

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Proceedings Article | 26 March 1998 Paper

Face recognition using Gabor wavelets and human saccadic behavior

John Keller, Lemuel Myers, Steven Rogers, Matthew Kabrisky, Mark Oxley, Martin DeSimio

Proceedings Volume 3391, (1998) https://doi.org/10.1117/12.304887

KEYWORDS: Visualization, Visual process modeling, Image processing, Facial recognition systems, Wavelets, Sensors, Image filtering, Image resolution, Eye, Visual system

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Proceedings Article | 25 March 1998 Paper

Evolution programs for Bayesian training of neural networks

Lemuel Myers, John Keller, Steven Rogers, Matthew Kabrisky

Proceedings Volume 3390, (1998) https://doi.org/10.1117/12.304793

KEYWORDS: Neural networks, Genetic algorithms, Binary data, Organisms, Iris, Genetics, Gallium, Artificial neural networks, Data hiding, Zoom lenses

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Proceedings Article | 25 March 1998 Paper

RBF iterative construction algorithm (RICA)

Terry Wilson, Steven Rogers, Mark Oxley, Thomas Rathbun, Martin DeSimio, Matthew Kabrisky

Proceedings Volume 3390, (1998) https://doi.org/10.1117/12.304831

KEYWORDS: Mahalanobis distance, Data centers, Infrared imaging, Infrared radiation, Detection and tracking algorithms, Optical character recognition, Network architectures, Statistical analysis, Mica, Analytical research

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SPIE Journal Paper | 1 September 1997

Complete automatic target cuer/recognition system for tactical forward-looking infrared images

Brian Ernisse, Steven Rogers, Martin DeSimio, Richard Raines

OE, Vol. 36, Issue 09, (September 1997) https://doi.org/10.1117/12.10.1117/1.601484

KEYWORDS: Image segmentation, Image filtering, Forward looking infrared, Detection and tracking algorithms, Binary data, Target detection, Optical filters, Bandpass filters, Neural networks, Image processing algorithms and systems

Proceedings Article | 28 July 1997 Paper

Performance modeling for automatic target recognition systems

Anne Catlin, Lemuel Myers, Kenneth Bauer, Steven Rogers, Randy Broussard

Proceedings Volume 3070, (1997) https://doi.org/10.1117/12.281555

KEYWORDS: Performance modeling, Data modeling, Automatic target recognition, Systems modeling, Binary data, Statistical modeling, Neural networks, Artificial neural networks, Target detection, Mathematical modeling

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Proceedings Article | 4 April 1997 Paper

MLP iterative construction algorithm

Thomas Rathbun, Steven Rogers, Martin DeSimio, Mark Oxley

Proceedings Volume 3077, (1997) https://doi.org/10.1117/12.271467

KEYWORDS: Mica, Evolutionary algorithms, Neural networks, Feature selection

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Proceedings Article | 4 April 1997 Paper

Neural network classification of compound mixtures

Jeffrey Blackmon, Steven Rogers

Proceedings Volume 3077, (1997) https://doi.org/10.1117/12.271538

KEYWORDS: Neural networks

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SPIE Journal Paper | 1 December 1996

Detection of military vehicles using infrared spectral radiometric signatures

Matthew Whiteley, Michael Roggemann, Ray Johnson, Steven Rogers

OE, Vol. 35, Issue 12, (December 1996) https://doi.org/10.1117/12.10.1117/1.601089

KEYWORDS: Target detection, Error analysis, Infrared signatures, Sensors, Infrared radiation, Black bodies, Optical engineering, Temperature metrology, Missiles, Infrared detectors

Proceedings Article | 24 May 1996 Paper

Fusion of focus of attention alternatives for FLIR imagery

Terry Wilson, Steven Rogers, Randy Broussard, Thomas Rathbun

Proceedings Volume 2756, (1996) https://doi.org/10.1117/12.241135

KEYWORDS: Image filtering, Image fusion, Wavelets, Neurons, Image processing, Target detection, Detection and tracking algorithms, Genetic algorithms, Electronic filtering, Filtering (signal processing)

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Proceedings Article | 22 March 1996 Paper

Neural network analysis of chemical compounds in nonrebreathing Fisher-344 rat breath

Robert Sackett, Steven Rogers, Martin DeSimio, James Raymer, Dennis Ruck, Matthew Kabrisky, Charles Bleckmann

Proceedings Volume 2760, (1996) https://doi.org/10.1117/12.235928

KEYWORDS: Carbon, Virtual colonoscopy, Chemical analysis, Error analysis, Chemical compounds, Analytical research, Neural networks, Statistical analysis, Vehicle control, Artificial neural networks

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Proceedings Article | 22 March 1996 Paper

Derivative-based feature saliency for computer-aided breast cancer detection and diagnosis

William Polakowski, Steven Rogers, Dennis Ruck, Richard Raines, Jeffrey Hoffmeister

Proceedings Volume 2760, (1996) https://doi.org/10.1117/12.235922

KEYWORDS: Neural networks, Tumor growth modeling, Breast cancer, Databases, Image filtering, Mammography, Tissues, Computer aided diagnosis and therapy, Algorithm development, Image classification

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Proceedings Article | 22 March 1996 Paper

Wavelet detection of clustered microcalcifications

Donald McCandless, Steven Rogers, Jeffrey Hoffmeister, Dennis Ruck, Richard Raines, Bruce Suter

Proceedings Volume 2762, (1996) https://doi.org/10.1117/12.236012

KEYWORDS: Image filtering, Wavelets, Mammography, Tissues, Nonlinear filtering, Breast cancer, Electronic filtering, Signal to noise ratio, Analytical research, Data processing

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Proceedings Article | 22 March 1996 Paper

Physiologically motivated image fusion using pulse-coupled neural networks

Randy Broussard, Steven Rogers

Proceedings Volume 2760, (1996) https://doi.org/10.1117/12.235981

KEYWORDS: Neurons, Image fusion, Visual process modeling, Image processing, Image filtering, Optical filters, Visualization, Visual system, Modulation, Wavelets

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Proceedings Article | 22 March 1996 Paper

Space object identification using spatiotemporal pattern recognition

Gary Brandstrom, Dennis Ruck, Steven Rogers, Bruce Stribling

Proceedings Volume 2760, (1996) https://doi.org/10.1117/12.235937

KEYWORDS: Satellites, Pattern recognition, Neural networks, 3D modeling, 3D displays, Detection and tracking algorithms, Satellite imaging, Target recognition, Computer simulations, 3D image processing

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SPIE Journal Paper | 1 November 1995

Perceptual-based hyperspectral image fusion using multiresolution analysis

Terry Wilson, Steven Rogers, Lemuel Myers

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.213617

KEYWORDS: Image fusion, Sensors, Signal to noise ratio, Image sensors, Wavelets, Contrast sensitivity, Hyperspectral imaging, Image analysis, Linear filtering, Image filtering

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Proceedings Article | 2 June 1995 Paper

Satellite surface material composition from synthetic spectra

Eugene Caudill, Michael Roggemann, Byron Welch, Steven Rogers

Proceedings Volume 2469, (1995) https://doi.org/10.1117/12.210602

KEYWORDS: Signal to noise ratio, Error analysis, Satellites, Sagnac interferometers, Sensors, Fourier transforms, Data analysis, Feature extraction, Reflectivity, Space telescopes

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Proceedings Article | 6 April 1995 Paper

Neural estimation and embedology for time-series prediction

Robert Garza, James Stewart, Steven Rogers, Dennis Quinn, James Stright

Proceedings Volume 2492, (1995) https://doi.org/10.1117/12.205170

KEYWORDS: Neural networks, Evolutionary algorithms, Reconstruction algorithms, Algorithm development, Error analysis, Stochastic processes, Data modeling, Dynamical systems, Fractal analysis, Dysprosium

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Proceedings Article | 6 April 1995 Paper

Neural network feature selection for breast cancer diagnosis

Catherine Kocur, Steven Rogers, Kenneth Bauer, Jean Steppe, Jeffrey Hoffmeister

Proceedings Volume 2492, (1995) https://doi.org/10.1117/12.205202

KEYWORDS: Feature selection, Breast cancer, Neural networks, Classification systems, Computer aided diagnosis and therapy, Wavelets, Mammography, Feature extraction, Data processing, Image segmentation

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Proceedings Article | 6 April 1995 Paper

Wavelets for computer-aided breast cancer diagnosis

Lemuel Myers, Catherine Kocur, Steven Rogers, Chris Eisenbies, Jeffrey Hoffmeister

Proceedings Volume 2491, (1995) https://doi.org/10.1117/12.205438

KEYWORDS: Wavelets, Breast cancer, Computer aided diagnosis and therapy, Mammography, Feature extraction, Feature selection, Image segmentation, Classification systems, Image processing, Neural networks

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Proceedings Article | 6 April 1995 Paper

Automatic target recognition using neural networks

Steven Rogers, John Colombi, Curtis Martin, James Gainey, Kenneth Fielding, Thomas Burns, Dennis Ruck, Matthew Kabrisky, Mark Oxley

Proceedings Volume 2492, (1995) https://doi.org/10.1117/12.205140

KEYWORDS: Neural networks, Automatic target recognition, Image segmentation, Error analysis, Statistical analysis, Target recognition, Sensors, Feature extraction, Classification systems, Autoregressive models

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Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing of military data to find and recognize targets -- automatic target recognition (ATR). A general-purpose automatic target recognition system does not exist. The work presented here is demonstrated on military data, but it can only be considered proof of principle until systems are fielded and proven `under- fire.' ATR data can be in the form of nonimaging one-dimensional sensor returns, such as ultra-high range-resolution radar returns (UHRR) for air-to-air automatic target recognition and vibration signatures from a laser radar for recognition of ground targets. The ATR data can be two-dimensional images. The most common ATR images are infrared, but current systems must also deal with synthetic aperture radar (SAR) images. Finally, the data can be three-dimensional, such as sequences of multiple exposures taken over time from a nonstationary world. Targets move, as do sensors, and that movement can be exploited by the ATR. Hyperspectral data, which are views of the same piece of the world looking at different spectral bands, is another example of multiple image data; the third dimension is now wavelength and not time. ATR system design usually consists of four stages. The first stage is to select the sensor or sensors to produce the target measurements. The next stage is the preprocessing of the data and the location of regions of interest within the data (segmentation). The human retina is a ruthless preprocessor. Physiologically motivated preprocessing and segmentation is demonstrated along with supervised and unsupervised artificial neural segmentation techniques. The third design step is feature extraction and selection: the extraction of a set of numbers which characterize regions of the data. The last step is the processing of the features for decision making (classification). The area of classification is where most ATR related neural network research has been accomplished. The relation of neural classifiers to Bayesian techniques is emphasized along with the more recent use of feature sequences to enhance classification.

SPIE Journal Paper | 1 July 1994

Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow

Thomas Burns, Steven Rogers, Dennis Ruck, Mark Oxley

OE, Vol. 33, Issue 07, (July 1994) https://doi.org/10.1117/12.10.1117/12.172250

KEYWORDS: Wavelets, Image filtering, Electronic filtering, Optical filters, Temporal resolution, Optical flow, Fourier transforms, Motion analysis, Spatial resolution, Sensors

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Proceedings Article | 15 March 1994 Paper

Computing optical flow using a discrete, spatio-temporal, wavelet multiresolution analysis

Thomas Burns, Steven Rogers, Mark Oxley, Dennis Ruck

Proceedings Volume 2242, (1994) https://doi.org/10.1117/12.170056

KEYWORDS: Wavelets, Image filtering, Fourier transforms, Optical flow, Optical filters, Sensors, Electronic filtering, Temporal resolution, 3D image processing, Spatial filters

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Proceedings Article | 2 March 1994 Paper

Identity verification through the fusion of face and speaker data

John Keller, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.170010

KEYWORDS: Neural networks, Databases, Facial recognition systems, Data fusion, Distortion, Classification systems, Computer security, Image segmentation, Speaker recognition, System identification

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Proceedings Article | 2 March 1994 Paper

Handwritten word recognition based on Fourier coefficients

Gary Shartle, Steven Rogers, Dennis Ruck, Matthew Kabrisky, Mark O'Hair

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.169977

KEYWORDS: Fourier transforms, Spatial frequencies, Databases, Spatial filters, Pattern recognition, Image segmentation, Linear filtering, Computer engineering, Computing systems, Speech recognition

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Proceedings Article | 2 March 1994 Paper

Color image segmentation

Kimberley McCrae, Dennis Ruck, Steven Rogers, Mark Oxley

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.169979

KEYWORDS: Image segmentation, Wavelets, Neural networks, Computing systems, Color image segmentation, Visual system, Sensors, Image filtering, Target recognition, Motion detection

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Proceedings Article | 2 March 1994 Paper

Nonparametric Bayes error estimation for HRR target identification

Curtis Martin, Steven Rogers, Dennis Ruck

Proceedings Volume 2243, (1994) https://doi.org/10.1117/12.169953

KEYWORDS: Error analysis, Neural networks, Statistical analysis, Target recognition, Pattern recognition, Matrices, Control systems, Biological research, Estimation theory, Mahalanobis distance

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Proceedings Article | 1 March 1994 Paper

Optical wavelet transform for fingerprint identification

Robert MacDonald, Steven Rogers, Thomas Burns, Kenneth Fielding, Gregory Warhola, Dennis Ruck

Proceedings Volume 2237, (1994) https://doi.org/10.1117/12.169437

KEYWORDS: Wavelets, Wavelet transforms, Optical filters, Image filtering, Fingerprint recognition, Electronic filtering, Image resolution, Signal to noise ratio, Digital filtering, Optical correlators

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SPIE Journal Paper | 1 January 1994

Object tracking through adaptive correlation

Dennis Montera, Steven Rogers, Dennis Ruck, Mark Oxley

OE, Vol. 33, Issue 01, (January 1994) https://doi.org/10.1117/12.10.1117/12.152013

KEYWORDS: Optical correlators, Detection and tracking algorithms, Optical tracking, Sensors, Target recognition, Algorithm development, Target detection, Forward looking infrared, Neural networks, Computer engineering

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Proceedings Article | 29 October 1993 Paper

Spatiotemporal pattern recognition using hidden Markov models

Kenneth Fielding, Dennis Ruck, Steven Rogers, Byron Welsh, Mark Oxley

Proceedings Volume 2032, (1993) https://doi.org/10.1117/12.162031

KEYWORDS: Signal to noise ratio, Optical spheres, Pattern recognition, Image classification, Error analysis, Image processing, Motion models, Statistical modeling, Statistical analysis, 3D modeling

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Proceedings Article | 25 October 1993 Paper

Object tracking through adaptive correlation

Dennis Montera, Steven Rogers, Dennis Ruck, Mark Oxley

Proceedings Volume 1959, (1993) https://doi.org/10.1117/12.160301

KEYWORDS: Optical correlators, Optical tracking, Target recognition, Sensors, Detection and tracking algorithms, Target detection, Algorithm development, Forward looking infrared, Optical pattern recognition, Infrared sensors

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Proceedings Article | 3 September 1993 Paper

Autonomous target recognition using remotely sensed surface vibration measurements

James Geurts, Dennis Ruck, Steven Rogers, Mark Oxley, Dallas Barr

Proceedings Volume 1955, (1993) https://doi.org/10.1117/12.154968

KEYWORDS: Sensors, LIDAR, Classification systems, Vibrometry, Automatic target recognition, Doppler effect, Distortion, Systems modeling, Target recognition, Camouflage

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