Dr. S. Richard F. Sims Profile

Dr. S. Richard F. Sims

Electrical Engineer at US Army CCDC

SPIE Involvement:

Author

Publications (36)

Proceedings Article | 15 April 2008 Paper

Applications of super-resolution and deblurring to practical sensors

S. Susan Young, Richard Sims, Keith Kraples, James Waterman, Leslie Smith, Eddie Jacobs, Ted Corbin, Louis Larsen, Ronald Driggers

Proceedings Volume 6941, 69411E (2008) https://doi.org/10.1117/12.796420

KEYWORDS: Sensors, Super resolution, Image processing, Image filtering, Detection and tracking algorithms, Image restoration, Image sensors, Reconstruction algorithms, Imaging systems, Missiles

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Proceedings Article | 7 May 2007 Paper

An ensemble approach to data fusion and its application to ATR

Costin Barbu, Jing Peng, Richard Sims

Proceedings Volume 6566, 65660O (2007) https://doi.org/10.1117/12.720156

KEYWORDS: Data fusion, Biometrics, Glasses, Matrices, Image fusion, Databases, Binary data, Computer programming, Sensors, Information fusion

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SPIE Journal Paper | 1 November 2006

Target detection, classification, and tracking using a maximum average correlation height and polynomial distance classification correlation filter combination

Sharif Bhuiyan, Mohammad Alam, S. Richard Sims

OE, Vol. 45, Issue 11, 116401, (November 2006) https://doi.org/10.1117/12.10.1117/1.2385631

KEYWORDS: Target detection, Image filtering, Image classification, Electronic filtering, Detection and tracking algorithms, Optical tracking, Forward looking infrared, Optical filters, Optical engineering, Nonlinear filtering

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Proceedings Article | 19 May 2005 Paper

Estimating performance limits for automatic target recognition in compressed video

Ryan Kerekes, B. V. K. Vijaya Kumar, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.602958

KEYWORDS: Image filtering, Target recognition, Video compression, Video, Image compression, Automatic target recognition, Distortion, Target detection, Databases, Electronic filtering

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Proceedings Article | 19 May 2005 Paper

Empirical comparison of robustness of classifiers on IR imagery

Peng Zhang, Jing Peng, Kun Zhang, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.604163

KEYWORDS: Infrared imaging, Statistical analysis, Error analysis, Automatic target recognition, Algorithm development, Virtual colonoscopy, Missiles, Detection and tracking algorithms, FDA class I medical device development, Quantization

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Proceedings Article | 19 May 2005 Paper

New subspace methods for ATR

Peng Zhang, Jing Peng, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.604135

KEYWORDS: Automatic target recognition, Image filtering, Dimension reduction, Scatter measurement, Infrared imaging, Principal component analysis, Matrices, Detection and tracking algorithms, Convolution, Visualization

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Proceedings Article | 19 May 2005 Paper

Fractional power scale-tolerant correlation filters for enhanced automatic target recognition performance

Ryan Kerekes, Marios Savvides, B. V. K. Vijaya Kumar, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.603689

KEYWORDS: Image filtering, Electronic filtering, Distortion, Target recognition, Automatic target recognition, Target detection, Optical filters, Detection and tracking algorithms, Video, Long wavelength infrared

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Correlation filters are attractive for automatic target recognition (ATR) applications due to such attributes as shift invariance, distortion tolerance and graceful degradation. Composite correlation filters are designed to handle target distortions by training on a set of images that represent the expected distortions during testing. However, if the distortion can be described algebraically, as in the case of in-plane rotation and scale, then only one training image is necessary. A recently introduced scale-tolerant correlation filter design, called the Minimum Average Correlation Energy Mellin Radial Harmonic (MACE-MRH) filter, exploits this algebraic property and allows the user to specify the scale response of the filter. These filters also minimize the average correlation energy in order to help control the sidelobes in the correlation output and produce sharper, more detectable peaks. In this paper we show that applying non-linearities in the frequency domain (leading to fractional power scale-tolerant correlation filters) can significantly improve the resulting peak sharpness, yielding larger peak-to-correlation energy values for true-class targets at various scales in a scene image. We investigate the effects of fractional power transformations on MACE-MRH filter performance by using a testbed of fifty video sequences consisting of long-wave infrared (LWIR) imagery, in which the observer moves along a flight path toward one or more ground targets of interest. Targets in the test sequences suffer large amounts of scale distortion due to the approach trajectory of the camera. MACE-MRH filter banks are trained on single targets and applied to each sequence on a frame-by-frame basis to perform target detection and recognition. Recognition results from both fractional power MACE-MRH filters and regular MACE-MRH filters are provided, showing the improvement in scale-tolerant recognition from applying fractional power non-linearities to these filters.

Proceedings Article | 19 May 2005 Paper

Evaluation of video compression for 8-bit and 12-bit IR data with H.264 fidelity range extensions

S. Richard Sims, Jonathan Mills, Pankaj Topiwala

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.603853

KEYWORDS: Video compression, Video, Standards development, Sensors, Infrared sensors, Target detection, Video surveillance, Video coding, Missiles, Image compression

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Proceedings Article | 19 May 2005 Paper

Nonlinear discriminant adaptive nearest neighbor classifiers

Peng Zhang, Jing Peng, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.604150

KEYWORDS: Matrices, Spatial resolution, Infrared imaging, Distance measurement, Missiles, Image classification, Space operations, Automatic target recognition, Associative arrays, Data processing

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Proceedings Article | 28 March 2005 Paper

Efficient pattern recognition and classification using a combination of maximum average correlation height and polynomial distance classifier correlation filters

Sharif Bhuiyan, Mohammad Alam, S. Richard Sims

Proceedings Volume 5816, (2005) https://doi.org/10.1117/12.603591

KEYWORDS: Image filtering, Target detection, Image classification, Forward looking infrared, Detection and tracking algorithms, Fourier transforms, Pattern recognition, Nonlinear filtering, Distortion, Image processing

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Proceedings Article | 21 September 2004 Paper

Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery

S. Richard Sims, Abhijit Mahalanobis

Proceedings Volume 5426, (2004) https://doi.org/10.1117/12.548617

KEYWORDS: Target detection, Image filtering, Linear filtering, Filtering (signal processing), Infrared imaging, Infrared radiation, Optical filters, Infrared detectors, Image processing, Target recognition

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Proceedings Article | 21 September 2004 Paper

Evaluation of video compression technologies for ATR

S. Richard Sims, Jonathan Mills, Pankaj Topiwala

Proceedings Volume 5426, (2004) https://doi.org/10.1117/12.542279

KEYWORDS: Video compression, Video, Standards development, Sensors, Video surveillance, Target detection, Missiles, Image compression, Automatic target recognition, Infrared sensors

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SPIE Journal Paper | 1 August 2004

Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery

S. Richard Sims, Abhijit Mahalanobis

OE, Vol. 43, Issue 08, (August 2004) https://doi.org/10.1117/12.10.1117/1.1767195

KEYWORDS: Target detection, Image filtering, Linear filtering, Optical filters, Filtering (signal processing), Infrared imaging, Infrared radiation, Infrared detectors, Mahalanobis distance, Image processing

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Proceedings Article | 12 April 2004 Paper

Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery

S. Richard Sims, Abhijit Mahalanobis

Proceedings Volume 5437, (2004) https://doi.org/10.1117/12.548067

KEYWORDS: Target detection, Image filtering, Linear filtering, Filtering (signal processing), Infrared imaging, Optical filters, Infrared radiation, Image processing, Infrared detectors, Target recognition

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Proceedings Article | 4 August 2003 Paper

Object tracking in IR image sequences

Gozde Unal, Hamid Krim, Richard Sims

Proceedings Volume 5082, (2003) https://doi.org/10.1117/12.486999

KEYWORDS: Infrared imaging, Infrared search and track, Image segmentation, Optical flow, Video, Motion measurement, Motion estimation, Electrochemical etching, Detection and tracking algorithms, Algorithm development

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SPIE Journal Paper | 1 April 2003

Signal-to-clutter measure for measuring automatic target recognition performance using complimentary eigenvalue distribution analysis

Abhijit Mahalanobis, S. Richard Sims, Alan Van Nevel

OE, Vol. 42, Issue 04, (April 2003) https://doi.org/10.1117/12.10.1117/1.1556012

KEYWORDS: Automatic target recognition, Target detection, Detection and tracking algorithms, Matrices, Optical engineering, Statistical analysis, Sensors, Target recognition, Optical filters, Infrared imaging

Proceedings Article | 22 October 2001 Paper

Regression model for prediction of IR images

Anuj Srivastava, Brian Thomasson, S. Richard Sims

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445364

KEYWORDS: Infrared imaging, Thermography, Infrared cameras, Cameras, Thermal modeling, Volume rendering, Temperature metrology, Databases, Error analysis, Statistical analysis

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Proceedings Article | 17 August 2000 Paper

Putting ATR performance on an equal basis: the measurement of knowledge base distortion and relevant clutter

S. Richard Sims

Proceedings Volume 4050, (2000) https://doi.org/10.1117/12.395595

KEYWORDS: Automatic target recognition, Distortion, Detection and tracking algorithms, Target recognition, Sensors, Receivers, Target detection, Missiles, Meteorology, Optical sensors

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Proceedings Article | 22 March 1999 Paper

Test results for a 32x32 PCNN array

John Johnson, S. Richard Sims, T. Branch

Proceedings Volume 3728, (1999) https://doi.org/10.1117/12.343036

KEYWORDS: Image processing algorithms and systems, Missiles, Pulse generators, Raster graphics, Neodymium, Optical filtering, Algorithm development, Neural networks, Evolutionary algorithms, Image segmentation

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Proceedings Article | 18 September 1998 Paper

Signal to clutter measurement and ATR performance

S. Richard Sims

Proceedings Volume 3371, (1998) https://doi.org/10.1117/12.323857

KEYWORDS: Automatic target recognition, Particle filters, Detection and tracking algorithms, Target detection, Target recognition, Signal detection, Image filtering, Missiles, Algorithm development, Meteorology

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SPIE Journal Paper | 1 October 1997

Data compression issues in automatic target recognition and measuring of distortion

S. Richard Sims

OE, Vol. 36, Issue 10, (October 1997) https://doi.org/10.1117/12.10.1117/1.601317

KEYWORDS: Distortion, Automatic target recognition, Quantization, Data compression, Wavelets, Image compression, Pattern recognition, Wavelet transforms, Systems modeling, Pixel resolution

Proceedings Article | 23 June 1997 Paper

Signal-to-clutter measure for ATR performance comparison

Margaret Phillips, S. Richard Sims

Proceedings Volume 3069, (1997) https://doi.org/10.1117/12.277137

KEYWORDS: Target detection, Particle filters, Target recognition, Automatic target recognition, Signal detection, Algorithm development, Detection and tracking algorithms, 3D modeling, Image resolution, Pattern recognition

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Proceedings Article | 27 March 1997 Paper

Experimental measurements of dynamic range requirements for cross-correlation with synthetic discriminant functions

Jonathan Mills, S. Richard Sims

Proceedings Volume 3073, (1997) https://doi.org/10.1117/12.270367

KEYWORDS: Target detection, Optical correlators, Target recognition, Palladium, Filtering (signal processing), Image filtering, Sensors, Digital filtering, Human-machine interfaces, Digital image correlation

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SPIE Journal Paper | 1 March 1997

Target signature consistency of image data fusion alternatives

S. Richard Sims, Margaret Phillips

OE, Vol. 36, Issue 03, (March 1997) https://doi.org/10.1117/12.10.1117/1.601272

KEYWORDS: Image fusion, Image processing, Distortion, Data fusion, Optical engineering, Automatic target recognition, Infrared signatures, Infrared imaging, Image enhancement, Visualization

Proceedings Article | 28 August 1995 Paper

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

Abhijit Mahalanobis, Bhagavatula Vijaya Kumar, S. Richard Sims

Proceedings Volume 2565, (1995) https://doi.org/10.1117/12.217668

KEYWORDS: Automatic target recognition, Image filtering, Target detection, Distance measurement, Distortion, Tolerancing, Detection and tracking algorithms, Matrices, Mahalanobis distance, Missiles

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Proceedings Article | 5 July 1995 Paper

Evaluation of generalized distance classifier filters for multiclass automatic target recognition

S. Richard Sims, Abhijit Mahalanobis, Bhagavatula Vijaya Kumar

Proceedings Volume 2485, (1995) https://doi.org/10.1117/12.213088

KEYWORDS: Distance measurement, Automatic target recognition, Image filtering, Mahalanobis distance, Spatial resolution, Computer programming, Fourier transforms, Missiles, Pattern recognition, Tin

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Proceedings Article | 29 July 1994 Paper

Minimum average correlation energy (MACE) prefilter networks for automatic target recognition

Gregory Hobson, S. Richard Sims, Paul Gader, James Keller

Proceedings Volume 2234, (1994) https://doi.org/10.1117/12.181037

KEYWORDS: Detection and tracking algorithms, Image filtering, Neural networks, Nonlinear filtering, Linear filtering, Automatic target recognition, Image enhancement, Target recognition, Fourier transforms, Molybdenum

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Proceedings Article | 29 July 1994 Paper

Self-partitioning neural networks for target recognition

Heggere Ranganath, S. Richard Sims

Proceedings Volume 2234, (1994) https://doi.org/10.1117/12.181031

KEYWORDS: Neural networks, Neurons, Target recognition, Network architectures, Detection and tracking algorithms, Information operations, Algorithm development, Image processing, Computer simulations, Computer science

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Proceedings Article | 1 June 1994 Paper

Distance classifier correlation filters

Abhijit Mahalanobis, Daniel Carlson, Bhagavatula Vijaya Kumar, S. Richard Sims

Proceedings Volume 2238, (1994) https://doi.org/10.1117/12.177703

KEYWORDS: Image filtering, Signal to noise ratio, Synthetic aperture radar, Target recognition, Missiles, Tolerancing, Automatic target recognition, Image segmentation, Mahalanobis distance, Feature extraction

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Proceedings Article | 9 November 1993 Paper

Distance classifier correlation filters for distortion tolerance, discrimination, and clutter rejection

Abhijit Mahalanobis, Bhagavatula Vijaya Kumar, S. Richard Sims

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163625

KEYWORDS: Image filtering, Distortion, Tolerancing, Matrices, Detection and tracking algorithms, Distance measurement, Target recognition, Optical correlators, Electronic filtering, Feature extraction

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Proceedings Article | 25 October 1993 Paper

Synthetic discriminant functions using relaxed constraints

S. Richard Sims, Jim Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis

Proceedings Volume 1959, (1993) https://doi.org/10.1117/12.160283

KEYWORDS: Computer programming, Optical filters, Detection and tracking algorithms, Image filtering, Optical pattern recognition, Distortion, Tolerancing, Target recognition, Fourier transforms, Mahalanobis distance

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SPIE Journal Paper | 1 December 1992

Automatic target recognition using a passive multisensor suite

S. Richard Sims, Belur Dasarathy

OE, Vol. 31, Issue 12, (December 1992) https://doi.org/10.1117/12.10.1117/12.60015

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Proceedings Article | 1 July 1992 Paper

Minimum squared error: synthetic discriminant function filter performance evaluations

S. Richard Sims, Jim Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis

Proceedings Volume 1701, (1992) https://doi.org/10.1117/12.138325

KEYWORDS: Optical pattern recognition, Silicon, Fourier transforms, Mahalanobis distance, Optical filters, Detection and tracking algorithms, Nonlinear optics, Computer programming, Image filtering, Gaussian filters

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SPIE Journal Paper | 1 May 1992

Minimum squared error synthetic discriminant functions

Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, Sewoong Song, S. Richard Sims, Jim Epperson

OE, Vol. 31, Issue 05, (May 1992) https://doi.org/10.1117/12.10.1117/12.56169

KEYWORDS: Image filtering, Detection and tracking algorithms, Fourier transforms, Nonlinear filtering, Matrices, Error analysis, Computer engineering, Mahalanobis distance, Computing systems, Data processing

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Proceedings Article | 1 September 1990 Paper

Synthetic discriminant function filter performance evaluations

S. Richard Sims, Jonathan Mills

Proceedings Volume 1297, (1990) https://doi.org/10.1117/12.21305

KEYWORDS: Filtering (signal processing), Signal processing, Detection and tracking algorithms, Image filtering, Electronic filtering, Binary data, Interference (communication), Computer programming, Optical filters, Nomenclature

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Proceedings Article | 1 September 1990 Paper

Multistage, higher-order SDF filters

James Brasher, Charles Hester, David Lawson, S. Richard Sims

Proceedings Volume 1297, (1990) https://doi.org/10.1117/12.21304

KEYWORDS: Filtering (signal processing), Detection and tracking algorithms, Image filtering, Signal processing, Electronic filtering, Interference (communication), Linear filtering, Target detection, Critical dimension metrology, Missiles

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Showing 5 of 36 publications

Conference Committee Involvement (15)

Automatic Target Recognition XX

5 April 2010 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009

16 April 2009 | Orlando, Florida, United States

Automatic Target Recognition XIX

13 April 2009 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008

19 March 2008 | Orlando, Florida, United States

Automatic Target Recognition XVIII

19 March 2008 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007

11 April 2007 | Orlando, Florida, United States

Automatic Target Recognition XVII

10 April 2007 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006

19 April 2006 | Orlando (Kissimmee), Florida, United States

Automatic Target Recognition XVI

18 April 2006 | Orlando (Kissimmee), Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005

30 March 2005 | Orlando, Florida, United States

Automatic Target Recognition XV

29 March 2005 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004

14 April 2004 | Orlando, Florida, United States

Automatic Target Recognition XIV

13 April 2004 | Orlando, Florida, United States

Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications

23 April 2003 | Orlando, Florida, United States

Automatic Target Recognition XIII

22 April 2003 | Orlando, Florida, United States

Showing 5 of 15 Conference Committees

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