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: Sensors, Super resolution, Image processing, Image filtering, Detection and tracking algorithms, Image restoration, Image sensors, Reconstruction algorithms, Imaging systems, 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: Data fusion, Biometrics, Glasses, Matrices, Image fusion, Databases, Binary data, Computer programming, Sensors, Information 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: Image filtering, Target recognition, Video compression, Video, Image compression, Automatic target recognition, Distortion, Target detection, Databases, 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: Video compression, Video, Standards development, Sensors, Infrared sensors, Target detection, Video surveillance, Video coding, Missiles, Image compression

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

PROCEEDINGS ARTICLE | May 19, 2005

New subspace methods for ATR

Proc. SPIE. 5807, Automatic Target Recognition XV

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

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

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

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

PROCEEDINGS ARTICLE | September 21, 2004

Evaluation of video compression technologies for ATR

Proc. SPIE. 5426, Automatic Target Recognition XIV

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

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

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

PROCEEDINGS ARTICLE | August 4, 2003

Object tracking in IR image sequences

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

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

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

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

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, Missiles, Pulse generators, Raster graphics, Neodymium, Optical filtering, Algorithm development, Neural networks, Evolutionary algorithms, Image segmentation

PROCEEDINGS ARTICLE | September 18, 1998

Signal to clutter measurement and ATR performance

Proc. SPIE. 3371, Automatic Target Recognition VIII

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

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

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

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

PROCEEDINGS ARTICLE | July 5, 1995

Evaluation of generalized distance classifier filters for multiclass automatic target recognition

Proc. SPIE. 2485, Automatic Object Recognition V

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

PROCEEDINGS ARTICLE | July 29, 1994

Self-partitioning neural networks for target recognition

Proc. SPIE. 2234, Automatic Object Recognition IV

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

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, Image filtering, Neural networks, Nonlinear filtering, Linear filtering, Automatic target recognition, Image enhancement, Target recognition, Fourier transforms, Molybdenum

PROCEEDINGS ARTICLE | June 1, 1994

Distance classifier correlation filters

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

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

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

PROCEEDINGS ARTICLE | October 25, 1993

Synthetic discriminant functions using relaxed constraints

Proc. SPIE. 1959, Optical Pattern Recognition IV

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

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

PROCEEDINGS ARTICLE | September 1, 1990

Multistage, higher-order SDF filters

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

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

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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