Dr. Ariel Schlamm Profile

Dr. Ariel Schlamm

Lead Sensor Systems Engineer

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 9 May 2012 Paper

Paper

Detection of anomalous activity in hyperspectral imaging: metrics for evaluating algorithms

Gil Sharon, Roee Enbar, Stanley Rotman, Dan Blumberg, Ariel Schlamm, David Messinger

Proceedings Volume 8390, 83900D (2012) https://doi.org/10.1117/12.915346

KEYWORDS: Detection and tracking algorithms, Target detection, Algorithm development, Image segmentation, Hyperspectral imaging, Hyperspectral target detection, Receivers, Spatial resolution, Plasma display panels, Image processing algorithms and systems

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SPIE Journal Paper | 29 March 2012

Metrics of spectral image complexity with application to large area search

David Messinger, Amanda Ziemann, Ariel Schlamm, William Basener

OE, Vol. 51, Issue 03, 036201, (March 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.3.036201

KEYWORDS: Hyperspectral imaging, Image processing, Image quality, Image analysis, Target detection, RGB color model, Roads, Detection and tracking algorithms, Reflectivity, Optical engineering

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SPIE Journal Paper | 1 August 2011

Anomaly detection with varied ground sample distance utilizing spectropolarimetric imagery collected using a liquid crystal tunable filter

Brent Bartlett, Ariel Schlamm

OE, Vol. 50, Issue 08, 081207, (August 2011) https://doi.org/10.1117/12.10.1117/1.3564818

KEYWORDS: Polarimetry, Calibration, Polarization, Tunable filters, Sensors, Detection and tracking algorithms, Liquid crystals, Image processing, Optical engineering, Visualization

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Proceedings Article | 23 May 2011 Paper

Paper

Graph theoretic metrics for spectral imagery with application to change detection

James Albano, David Messinger, Ariel Schlamm, William Basener

Proceedings Volume 8048, 804809 (2011) https://doi.org/10.1117/12.883574

KEYWORDS: Data modeling, Detection and tracking algorithms, Mathematical modeling, Spectral models, Imaging systems, Spatial resolution, Satellite imaging, Algorithms, Atmospheric modeling, Digital imaging

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Proceedings Article | 20 May 2011 Paper

Paper

An empirical estimate of the multivariate normality of hyperspectral image data

Ariel Schlamm, David Messinger

Proceedings Volume 8048, 80481J (2011) https://doi.org/10.1117/12.881642

KEYWORDS: Sensors, Plasma display panels, Long wavelength infrared, Roads, Hyperspectral imaging, Detection and tracking algorithms, Target detection, Statistical analysis, Image analysis, Image sensors

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Proceedings Article | 20 May 2011 Paper

Paper

High spatial resolution hyperspectral spatially adaptive endmember selection and spectral unmixing

Kelly Canham, Ariel Schlamm, Bill Basener, David Messinger

Proceedings Volume 8048, 80481O (2011) https://doi.org/10.1117/12.884190

KEYWORDS: Principal component analysis, Sensors, Expectation maximization algorithms, Error analysis, Image processing, Image classification, Spatial resolution, Statistical analysis, Hyperspectral imaging, Image analysis

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Proceedings Article | 20 May 2011 Paper

Paper

Interactive visualization of hyperspectral images on a hyperbolic disk

Adam Goodenough, Ariel Schlamm, Scott Brown, David Messinger

Proceedings Volume 8048, 80481K (2011) https://doi.org/10.1117/12.886927

KEYWORDS: Visualization, Hyperspectral imaging, RGB color model, Image classification, Zoom lenses, Data modeling, Visual analytics, Data centers, Human-machine interfaces, Sensors

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Proceedings Article | 20 May 2011 Paper

Paper

Change detection using mean-shift and outlier-distance metrics

Joshua Zollweg, Ariel Schlamm, David Gillis, David Messinger

Proceedings Volume 8048, 804808 (2011) https://doi.org/10.1117/12.884503

KEYWORDS: Detection and tracking algorithms, Vegetation, Multispectral imaging, Reflectivity, Algorithm development, Statistical analysis, Clouds, Remote sensing, Image analysis, Error analysis

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Proceedings Article | 20 May 2011 Paper

Paper

Anomaly detection of man-made objects using spectropolarimetric imagery

Brent Bartlett, Ariel Schlamm, Carl Salvaggio, David Messinger

Proceedings Volume 8048, 80480B (2011) https://doi.org/10.1117/12.884167

KEYWORDS: Polarimetry, Sensors, Data modeling, RGB color model, Imaging systems, Sensing systems, Image processing, Image filtering, Target detection, Detection and tracking algorithms

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Proceedings Article | 13 May 2010 Paper

Paper

A novel method for change detection in spectral imagery

Ariel Schlamm, David Messinger, William Basener

Proceedings Volume 7695, 76951J (2010) https://doi.org/10.1117/12.849123

KEYWORDS: Plasma display panels, Image analysis, Detection and tracking algorithms, Hyperspectral imaging, Optical spheres, Roads, RGB color model, Image processing, Data centers, Digital imaging

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Proceedings Article | 13 May 2010 Paper

Paper

A comparison study of dimension estimation algorithms

Ariel Schlamm, Ronald Resmini, David Messinger, William Basener

Proceedings Volume 7695, 76952D (2010) https://doi.org/10.1117/12.849125

KEYWORDS: Principal component analysis, Sensors, Plasma display panels, Hyperspectral imaging, Image sensors, Data analysis, Fractal analysis, Image analysis, Dimension reduction, Statistical analysis

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Proceedings Article | 27 April 2009 Paper

Paper

Effect of manmade pixels on the inherent dimension of natural material distributions

Ariel Schlamm, David Messinger, William Basener

Proceedings Volume 7334, 73341K (2009) https://doi.org/10.1117/12.816568

KEYWORDS: Error analysis, Roads, Hyperspectral imaging, Optical spheres, Digital imaging, Data centers, Image analysis, Buildings, Reflectivity, Data modeling

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SPIE Journal Paper | 1 April 2009

Geometric estimation of the inherent dimensionality of single and multi-material clusters in hyperspectral imagery

Ariel Schlamm, David Messinger, William Basener

JARS, Vol. 3, Issue 01, 033527, (April 2009) https://doi.org/10.1117/12.10.1117/1.3133323

KEYWORDS: Principal component analysis, Statistical analysis, Hyperspectral imaging, Roads, Data modeling, Fractal analysis, Optical spheres, Image analysis, Sensors, Visualization

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Proceedings Article | 2 May 2008 Paper

Paper

Geometric estimation of the inherent dimensionality of a single material cluster in multi- and hyperspectral imagery

Ariel Schlamm, David Messinger, William Basener

Proceedings Volume 6966, 69661G (2008) https://doi.org/10.1117/12.776903

KEYWORDS: Principal component analysis, Statistical analysis, Roads, Hyperspectral imaging, Optical spheres, Image analysis, Visualization, Fractal analysis, Sensors, Image segmentation

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Showing 5 of 14 publications

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