Dr. S. Richard F. Sims Profile

Dr. S. Richard F. Sims

Electrical Engineer at US Army ARDEC

SPIE Involvement:

Conference Program Committee | Author

Publications (36)

PROCEEDINGS ARTICLE | April 15, 2008

Applications of super-resolution and deblurring to practical sensors

Proc. SPIE. 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX

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

PROCEEDINGS ARTICLE | May 7, 2007

An ensemble approach to data fusion and its application to ATR

Proc. SPIE. 6566, Automatic Target Recognition XVII

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

SPIE Journal Paper | November 1, 2006

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

Bhuiyan, Sharif , Alam, Mohammad , Sims, S. Richard

OE Vol. 45 Issue 11

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

PROCEEDINGS ARTICLE | May 19, 2005

Estimating performance limits for automatic target recognition in compressed video

Proc. SPIE. 5807, Automatic Target Recognition XV

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

PROCEEDINGS ARTICLE | May 19, 2005

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

Proc. SPIE. 5807, Automatic Target Recognition XV

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

PROCEEDINGS ARTICLE | May 19, 2005

Empirical comparison of robustness of classifiers on IR imagery

Proc. SPIE. 5807, Automatic Target Recognition XV

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

PROCEEDINGS ARTICLE | May 19, 2005

New subspace methods for ATR

Proc. SPIE. 5807, Automatic Target Recognition XV

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

PROCEEDINGS ARTICLE | May 19, 2005

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

Proc. SPIE. 5807, Automatic Target Recognition XV

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

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 | May 19, 2005

Nonlinear discriminant adaptive nearest neighbor classifiers

Proc. SPIE. 5807, Automatic Target Recognition XV

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

PROCEEDINGS ARTICLE | March 28, 2005

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

Proc. SPIE. 5816, Optical Pattern Recognition XVI

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

PROCEEDINGS ARTICLE | September 21, 2004

Evaluation of video compression technologies for ATR

Proc. SPIE. 5426, Automatic Target Recognition XIV

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

PROCEEDINGS ARTICLE | September 21, 2004

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

Proc. SPIE. 5426, Automatic Target Recognition XIV

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

SPIE Journal Paper | August 1, 2004

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

Sims, S. Richard , Mahalanobis, Abhijit

OE Vol. 43 Issue 08

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

PROCEEDINGS ARTICLE | April 12, 2004

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

Proc. SPIE. 5437, Optical Pattern Recognition XV

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

PROCEEDINGS ARTICLE | August 4, 2003

Object tracking in IR image sequences

Proc. SPIE. 5082, Acquisition, Tracking, and Pointing XVII

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

SPIE Journal Paper | April 1, 2003

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

Mahalanobis, Abhijit , Sims, S. Richard , Van Nevel, Alan

OE Vol. 42 Issue 04

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

PROCEEDINGS ARTICLE | October 22, 2001

Regression model for prediction of IR images

Proc. SPIE. 4379, Automatic Target Recognition XI

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

PROCEEDINGS ARTICLE | August 17, 2000

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

Proc. SPIE. 4050, Automatic Target Recognition X

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

PROCEEDINGS ARTICLE | March 22, 1999

Test results for a 32x32 PCNN array

Proc. SPIE. 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks

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

PROCEEDINGS ARTICLE | September 18, 1998

Signal to clutter measurement and ATR performance

Proc. SPIE. 3371, Automatic Target Recognition VIII

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

SPIE Journal Paper | October 1, 1997

Data compression issues in automatic target recognition and measuring of distortion

Sims, S. Richard

OE Vol. 36 Issue 10

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

PROCEEDINGS ARTICLE | June 23, 1997

Signal-to-clutter measure for ATR performance comparison

Proc. SPIE. 3069, Automatic Target Recognition VII

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

PROCEEDINGS ARTICLE | March 27, 1997

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

Proc. SPIE. 3073, Optical Pattern Recognition VIII

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

SPIE Journal Paper | March 1, 1997

Target signature consistency of image data fusion alternatives

Sims, S. Richard , Phillips, Margaret

OE Vol. 36 Issue 03

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

PROCEEDINGS ARTICLE | August 28, 1995

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

Proc. SPIE. 2565, Optical Implementation of Information Processing

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

PROCEEDINGS ARTICLE | July 5, 1995

Evaluation of generalized distance classifier filters for multiclass automatic target recognition

Proc. SPIE. 2485, Automatic Object Recognition V

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

PROCEEDINGS ARTICLE | July 29, 1994

Self-partitioning neural networks for target recognition

Proc. SPIE. 2234, Automatic Object Recognition IV

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

PROCEEDINGS ARTICLE | July 29, 1994

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

Proc. SPIE. 2234, Automatic Object Recognition IV

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

PROCEEDINGS ARTICLE | June 1, 1994

Distance classifier correlation filters

Proc. SPIE. 2238, Hybrid Image and Signal Processing IV

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

PROCEEDINGS ARTICLE | November 9, 1993

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

Proc. SPIE. 2026, Photonics for Processors, Neural Networks, and Memories

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

PROCEEDINGS ARTICLE | October 25, 1993

Synthetic discriminant functions using relaxed constraints

Proc. SPIE. 1959, Optical Pattern Recognition IV

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

SPIE Journal Paper | December 1, 1992

Automatic target recognition using a passive multisensor suite

Sims, S. Richard , Dasarathy, Belur

OE Vol. 31 Issue 12

PROCEEDINGS ARTICLE | July 1, 1992

Minimum squared error: synthetic discriminant function filter performance evaluations

Proc. SPIE. 1701, Optical Pattern Recognition III

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

SPIE Journal Paper | May 1, 1992

Minimum squared error synthetic discriminant functions

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

OE Vol. 31 Issue 05

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

PROCEEDINGS ARTICLE | September 1, 1990

Synthetic discriminant function filter performance evaluations

Proc. SPIE. 1297, Hybrid Image and Signal Processing II

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

PROCEEDINGS ARTICLE | September 1, 1990

Multistage, higher-order SDF filters

Proc. SPIE. 1297, Hybrid Image and Signal Processing II

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

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

Automatic Target Recognition XVIII

19 March 2008 | Orlando, Florida, United States

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

19 March 2008 | Orlando, Florida, United States

Showing 5 of 15 published special sections

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