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

James Theiler, Simon Perkins

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

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

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

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Proceedings Article | 1 June 2005 Paper

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

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

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

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

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Proceedings Article | 30 December 2003 Paper

Multimodal approach to feature extraction for image and signal learning problems

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

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

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

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Proceedings Article | 1 April 2003 Paper

Investigation of automated feature extraction using multiple data sources

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

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

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

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Proceedings Article | 6 December 2002 Paper

Genetic algorithms and support vector machines for time series classification

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

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

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

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Proceedings Article | 27 November 2002 Paper

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

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

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

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

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Proceedings Article | 2 August 2002 Paper

Feature extraction from multiple data sources using genetic programming

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

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

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

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Proceedings Article | 2 August 2002 Paper

Automated simultaneous multiple feature classification of MTI data

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

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

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

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Proceedings Article | 17 January 2002 Paper

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

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

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

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

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Proceedings Article | 17 January 2002 Paper

Evolving land cover classification algorithms for multispectral and multitemporal imagery

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

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

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

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Proceedings Article | 20 August 2001 Paper

Evolving forest fire burn severity classification algorithms for multispectral imagery

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

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

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

Simon Perkins, Neal Harvey, Steven Brumby, Kevin Lacker

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

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

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Proceedings Article | 15 November 2000 Paper

Advanced processing for high-bandwidth sensor systems

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

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

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

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Proceedings Article | 15 November 2000 Paper

Parallel evolution of image processing tools for multispectral imagery

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

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

KEYWORDS: Image processing, Binary data, Clocks, Multispectral imaging, Feature extraction, Computer architecture, Time metrology, Landsat, Genetic algorithms, 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, Dominique Lavenier, Neal Harvey, Simon Perkins, John Szymanski

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

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

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Proceedings Article | 13 October 2000 Paper

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

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

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

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

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Proceedings Article | 23 August 2000 Paper

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

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

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

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

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Proceedings Article | 1 November 1999 Paper

Investigation of image feature extraction by a genetic algorithm

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

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

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

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Proceedings Article | 27 October 1999 Paper

Evolving retrieval algorithms with a genetic programming scheme

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

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

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

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Showing 5 of 20 publications

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