Dr. Simon J. Perkins Profile

Dr. Simon J. Perkins

at Los Alamos National Lab

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 7 May 2007 Paper

Resampling approach for anomalous change detection

Simon Perkins, James Theiler

Proceedings Volume 6565, 65651U (2007) https://doi.org/10.1117/12.719972

KEYWORDS: Hyperspectral imaging, Detection and tracking algorithms, Sensors, Remote sensing, Image analysis, Solids, Machine learning, Environmental sensing, Binary data, Mahalanobis distance

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Proceedings Article | 25 August 2006 Paper

Optimizing clutter mitigation for automated feature extraction in multi-spectral images

Neal Harvey, Simon Perkins

Proceedings Volume 6315, 63150F (2006) https://doi.org/10.1117/12.677544

KEYWORDS: Roads, Detection and tracking algorithms, Image processing, Feature extraction, Software development, Image classification, Algorithm development, Earth observing sensors, High resolution satellite images, RGB color model

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Proceedings Article | 1 June 2005 Paper

Genie Pro: robust image classification using shape, texture, and spectral information

Neal Harvey, Simon Perkins, Kim Edlund, Steven Brumby, Diana Esch-Mosher, Damian Eads

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.604519

KEYWORDS: Hyperspectral imaging, Roads, Satellites, Image processing, Image analysis, Satellite imaging, Geographic information systems, Image classification, Earth observing sensors, Evolutionary algorithms

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Proceedings Article | 30 December 2003 Paper

Multimodal approach to feature extraction for image and signal learning problems

Steven Williams, Neal Harvey, Reid Porter, Damian Eads, Steven Brumby, Nancy David, James Theiler, Simon Perkins

Proceedings Volume 5200, (2003) https://doi.org/10.1117/12.506611

KEYWORDS: Data modeling, Pattern recognition, Remote sensing, Computer programming, Feature extraction, Multispectral imaging, Machine learning, Image classification, Genetics, Binary data

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Proceedings Article | 1 April 2003 Paper

Investigation of automated feature extraction using multiple data sources

Reid Porter, James Theiler, Paul Pope, Nancy David, Simon Perkins, Neal Harvey

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.485867

KEYWORDS: Image fusion, Landsat, Sensors, Feature extraction, Vegetation, Image sensors, Image classification, Earth observing sensors, High resolution satellite images, Data fusion

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Proceedings Article | 6 December 2002 Paper

Genetic algorithms and support vector machines for time series classification

Reid Porter, Sean Davis, Daniel Hill, Simon Perkins, Damian Eads, James Theiler, Junshui Ma

Proceedings Volume 4787, (2002) https://doi.org/10.1117/12.453526

KEYWORDS: Genetic algorithms, Satellites, Computer programming, Feature extraction, Data acquisition, Machine learning, Genetics, Feature selection, Convolution, Evolutionary algorithms

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Proceedings Article | 27 November 2002 Paper

RAPTOR experiment: a system for monitoring the optical sky in real time

Przemek Wozniak, Simon Perkins, William Priedhorsky, Steven Brumby, Daniel Starr, Donald Casperson, Edward Fenimore, Robert White, W. Vestrand, Katherine McGowan, James Wren, Mark Galassi, Konstantin Borozdin

Proceedings Volume 4845, (2002) https://doi.org/10.1117/12.459515

KEYWORDS: Observatories, Telescopes, Optical filters, Stars, Imaging systems, Cameras, Robotics, CCD cameras, Space telescopes, Spatial resolution

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Proceedings Article | 2 August 2002 Paper

Feature extraction from multiple data sources using genetic programming

John Szymanski, Mark Galassi, Reid Porter, Aaron Young, Hersey McCulloch, James Theiler, Damian Eads, Jeffrey Bloch, Nancy David, Steven Brumby, Neal Harvey, Diana Esch-Mosher, Paul Pope, Simon Perkins

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478765

KEYWORDS: Data modeling, Sensors, Image processing, Remote sensing, Computer programming, Feature extraction, Multispectral imaging, Machine learning, Genetics, Evolutionary algorithms

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Proceedings Article | 2 August 2002 Paper

Automated simultaneous multiple feature classification of MTI data

Jeffrey Bloch, Mark Galassi, Reid Porter, James Theiler, Nancy David, Steven Brumby, Lee Balick, John Szymanski, Simon Perkins, Neal Harvey, Paul Pope

Proceedings Volume 4725, (2002) https://doi.org/10.1117/12.478767

KEYWORDS: Thermography, Image segmentation, Image processing, Remote sensing, Sulfur, Clouds, Feature extraction, Multispectral imaging, Image classification, Classification systems

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Proceedings Article | 17 January 2002 Paper

Evolving a spatio-spectral network on reconfigurable computers for multispectral feature identification

Reid Porter, Simon Perkins, Aaron Young, Neal Harvey, Maya Gokhale

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453330

KEYWORDS: Image processing, Computing systems, Field programmable gate arrays, Feature extraction, Neural networks, Computer networks, Algorithm development, Multiplexers, Network architectures, Evolutionary algorithms

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Proceedings Article | 17 January 2002 Paper

Evolving land cover classification algorithms for multispectral and multitemporal imagery

Simon Perkins, Jeffrey Bloch, James Theiler, John Szymanski, Neal Harvey, Steven Brumby, Aaron Young

Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453331

KEYWORDS: Landsat, Satellites, Image processing, Remote sensing, Clouds, Multispectral imaging, Machine learning, Image classification, Binary data, Earth observing sensors

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Proceedings Article | 20 August 2001 Paper

Evolving forest fire burn severity classification algorithms for multispectral imagery

James Theiler, John Szymanski, Steven Brumby, Jeffrey Bloch, Aaron Young, Simon Perkins, Neal Harvey

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437013

KEYWORDS: Genetic algorithms, Landsat, Satellites, Image processing, Remote sensing, Multispectral imaging, Machine learning, Image classification, Binary data, Earth observing sensors

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Proceedings Article | 20 August 2001 Paper

Support vector machines for broad-area feature classification in remotely sensed images

Kevin Lacker, Neal Harvey, Steven Brumby, Simon Perkins

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437019

KEYWORDS: Hyperspectral imaging, Image processing, Remote sensing, Satellite imaging, Multispectral imaging, Machine learning, Image classification, Binary data, Earth observing sensors, Classification systems

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Proceedings Article | 15 November 2000 Paper

Advanced processing for high-bandwidth sensor systems

Reid Porter, James Theiler, Phil Blain, Steven Brumby, Melanie Mitchell, Mark Dunham, Christopher Brislawn, Maya Gokhale, Simon Perkins, Won-Ha Kim, Kurt Moore, Garrett Kenyon, Dominique Lavenier, Neal Harvey, Alfonso Salazar, Jeffrey Bloch, John Szymanski, Janette Frigo, Aaron Young, S. Robinson, J. Layne, Maureen Cafferty, Kevin McCabe

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406575

KEYWORDS: Digital signal processing, Reconfigurable computing, Sensors, Image segmentation, Image processing, Remote sensing, Field programmable gate arrays, Feature extraction, Signal processing, Algorithm development

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Proceedings Article | 15 November 2000 Paper

Parallel evolution of image processing tools for multispectral imagery

Simon Perkins, Neal Harvey, John Szymanski, Steven Brumby, Jeffrey Bloch, James Theiler, Aaron Young, Reid Porter

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406611

KEYWORDS: Genetic algorithms, Landsat, Clocks, Image processing, Feature extraction, Multispectral imaging, Time metrology, Computer architecture, Binary data, Earth observing sensors

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Proceedings Article | 15 November 2000 Paper

Using blocks of skewers for faster computation of pixel purity index

James Theiler, Simon Perkins, Neal Harvey, Dominique Lavenier, John Szymanski

Proceedings Volume 4132, (2000) https://doi.org/10.1117/12.406610

KEYWORDS: Hyperspectral imaging, Principal component analysis, Optical spheres, Detection and tracking algorithms, Remote sensing, Field programmable gate arrays, Multispectral imaging, Imaging spectrometry, Array processing, Binary data

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Proceedings Article | 13 October 2000 Paper

GENIE: a hybrid genetic algorithm for feature classification in multispectral images

Steven Brumby, James Theiler, Simon Perkins, John Szymanski, Neal Harvey, Reid Porter, Jeffrey Bloch

Proceedings Volume 4120, (2000) https://doi.org/10.1117/12.403635

KEYWORDS: Genetic algorithms, Roads, Image processing, Image resolution, Neural networks, Machine learning, Image classification, Algorithm development, Earth observing sensors, High resolution satellite images

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Proceedings Article | 23 August 2000 Paper

Genetic algorithm for combining new and existing image processing tools for multispectral imagery

Jeffrey Bloch, Steven Brumby, Simon Perkins, John Szymanski, Neal Harvey, James Theiler, Reid Porter

Proceedings Volume 4049, (2000) https://doi.org/10.1117/12.410371

KEYWORDS: Visible radiation, Genetic algorithms, Image processing, Remote sensing, Ions, Feature extraction, Vegetation, Multispectral imaging, Binary data, Evolutionary algorithms

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Proceedings Article | 1 November 1999 Paper

Investigation of image feature extraction by a genetic algorithm

Simon Perkins, Neal Harvey, Steven Brumby, James Theiler, Jeffrey Bloch, John Szymanski, Melanie Mitchell

Proceedings Volume 3812, (1999) https://doi.org/10.1117/12.367697

KEYWORDS: Genetic algorithms, MODIS, Image processing, Remote sensing, Computer programming, Feature extraction, Image analysis, Genetics, Algorithm development, Evolutionary algorithms

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Proceedings Article | 27 October 1999 Paper

Evolving retrieval algorithms with a genetic programming scheme

Simon Perkins, Reid Porter, John Szymanski, James Theiler, Neal Harvey, Steven Brumby, Steve Alferink, Jeffrey Bloch

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366303

KEYWORDS: Genetic algorithms, Data modeling, Sensors, Image processing, Remote sensing, Computer programming, Vegetation, Genetics, Algorithm development, Atmospheric modeling

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Showing 5 of 20 publications

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