Dr. David B. Gillis Profile

Dr. David B. Gillis

at US Naval Research Lab

SPIE Involvement:

Author

Publications (26)

Proceedings Article | 17 May 2016 Paper

Paper

A nonlinear modeling framework for the detection of underwater objects in hyperspectral imagery

David Gillis

Proceedings Volume 9840, 98401B (2016) https://doi.org/10.1117/12.2228496

KEYWORDS: Submerged target modeling, Target detection, Submerged target detection, Hyperspectral imaging, Hyperspectral target detection, Optical properties, Water, Submerged target modeling, Reflectivity, Detection and tracking algorithms, Remote sensing

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Proceedings Article | 24 May 2012 Paper

Paper

Integration of heterogeneous data for classification in hyperspectral satellite imagery

J. Benedetto, W. Czaja, J. Dobrosotskaya, T. Doster, K. Duke, D. Gillis

Proceedings Volume 8390, 839027 (2012) https://doi.org/10.1117/12.919236

KEYWORDS: Hyperspectral imaging, Data integration, Data fusion, Sensors, Satellite imaging, Earth observing sensors, Satellites, Analytical research, Target detection, Control systems

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Proceedings Article | 24 May 2012 Paper

Paper

Hyperspectral image segmentation using spatial-spectral graphs

David Gillis, Jeffrey Bowles

Proceedings Volume 8390, 83901Q (2012) https://doi.org/10.1117/12.919743

KEYWORDS: Image segmentation, Hyperspectral imaging, Image processing algorithms and systems, Mathematical modeling, Data modeling, Matrices, Analytical research, Algorithm development, Distance measurement, Algorithms

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Proceedings Article | 10 May 2012 Paper

Paper

Semi-supervised learning of heterogeneous data in remote sensing imagery

J. Benedetto, W. Czaja, J. Dobrosotskaya, T. Doster, K. Duke, D. Gillis

Proceedings Volume 8401, 840104 (2012) https://doi.org/10.1117/12.919259

KEYWORDS: Hyperspectral imaging, Analytical research, Control systems, Remote sensing, Digital imaging, Machine learning, Sensors, Radon, Multispectral imaging, Principal component analysis

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Proceedings Article | 5 May 2012 Paper

Paper

Multi-wavelength resonance Raman spectroscopy of bacteria to study the effects of growth condition

Nagapratima Kunapareddy, Jacob Grun, Robert Lunsford, David Gillis, Sergei Nikitin, Zheng Wang

Proceedings Volume 8358, 83580B (2012) https://doi.org/10.1117/12.918652

KEYWORDS: Raman spectroscopy, Bacteria, Spectroscopy, Weapons of mass destruction, Ultraviolet radiation, Analytical research, Light scattering, Optical parametric oscillators, Data acquisition, Genetics

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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 | 13 May 2010 Paper

Paper

Results of GLMM-based target detection on the RIT data set

David Gillis, Emmett Ientilucci, Jeffrey Bowles

Proceedings Volume 7695, 769523 (2010) https://doi.org/10.1117/12.850242

KEYWORDS: Target detection, Detection and tracking algorithms, Data modeling, Atmospheric modeling, Reflectivity, Affine motion model, Hyperspectral imaging, Hyperspectral target detection, Sensors, Atmospheric corrections

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Proceedings Article | 5 May 2010 Paper

Paper

Detection of chemicals in mixed, two-dimensional Raman spectra

David Gillis, Jacob Grun, Jeffrey Bowles, Robert Lunsford, Sergei Nikitin, Charles Manka

Proceedings Volume 7665, 76651D (2010) https://doi.org/10.1117/12.850253

KEYWORDS: Target detection, Sensors, Detection and tracking algorithms, Raman spectroscopy, Bioalcohols, Statistical modeling, Liquids, Solids, Tunable lasers, Potassium

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Proceedings Article | 4 May 2010 Paper

Paper

Tunable multi-wavelength resonance-Raman detection of bacteria and chemicals in complex environments

Jacob Grun, Jeffrey Bowles, David Gillis, Pratima Kunapareddy, Robert Lunsford, Charles Manka, Sergei Nikitin, Zheng Wang

Proceedings Volume 7687, 768706 (2010) https://doi.org/10.1117/12.863209

KEYWORDS: Signal to noise ratio, Raman spectroscopy, Laser scattering, Bacteria, Optical filters, Explosives, Algorithm development, Light scattering, Spectroscopy, Tunable lasers

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Proceedings Article | 20 April 2010 Paper

Paper

Patch recognition of algal blooms and macroalgae

K. Szekielda, J. Bowles, D. Gillis, W. Snyder, W. Miller

Proceedings Volume 7678, 76780A (2010) https://doi.org/10.1117/12.854772

KEYWORDS: Absorption, Atmospheric corrections, Spectral resolution, Remote sensing, Calibration, Reflectivity, Solar energy, Biological research, Diagnostics, Water

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SPIE Journal Paper | 1 April 2010

High spatial resolution spectrometry of rafting macroalgae (Sargassum)

Karl Szekielda, George Marmorino, Jeffrey Bowles, David Gillis

JARS, Vol. 4, Issue 01, 043529, (April 2010) https://doi.org/10.1117/12.10.1117/1.3431044

KEYWORDS: Absorption, Spatial resolution, Spectroscopy, Remote sensing, Imaging spectroscopy, Vegetation, Spectral resolution, Sensors, Magnesium, Data acquisition

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Proceedings Article | 11 April 2008 Paper

Paper

A generalized linear mixing model for hyperspectral imagery

David Gillis, Jeffrey Bowles, Emmett Ientilucci, David Messinger

Proceedings Volume 6966, 69661B (2008) https://doi.org/10.1117/12.782113

KEYWORDS: Vegetation, Detection and tracking algorithms, Data modeling, Hyperspectral imaging, Target detection, Affine motion model, Electromyography, Reflectivity, Mathematical modeling, Eye

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Proceedings Article | 12 September 2007 Paper

Paper

Linear unmixing using endmember subspaces and physics based modeling

David Gillis, Jeffrey Bowles, Emmett Ientilucci, David Messinger

Proceedings Volume 6661, 66610E (2007) https://doi.org/10.1117/12.735677

KEYWORDS: Vegetation, Detection and tracking algorithms, Data modeling, Electromyography, Reflectivity, Target detection, Hyperspectral imaging, Sensors, Space operations, RGB color model

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Proceedings Article | 1 September 2006 Paper

Paper

Exploiting nonlinear structure in hyperspectral coastal data

David Gillis, Jeffrey Bowles, Ellen Bennert, Daniel Korwan, Gia Lamela, Marcos Montes, William Rhea

Proceedings Volume 6302, 63020V (2006) https://doi.org/10.1117/12.680951

KEYWORDS: LIDAR, Data modeling, Water, Reflectivity, Algorithm development, Inverse problems, Sensors, Databases, Optical properties, Hyperspectral imaging

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Proceedings Article | 31 October 2005 Paper

Paper

Hyperspectral imaging of an inter-coastal waterway

Jeffrey Bowles, Shelia Maness, Wei Chen, Curtiss Davis, Tim Donato, David Gillis, Daniel Korwan, Gia Lamela, Marcos Montes, W. Joseph Rhea, William Snyder

Proceedings Volume 5983, 59830F (2005) https://doi.org/10.1117/12.627676

KEYWORDS: Hyperspectral imaging, Data modeling, Imaging systems, Remote sensing, Water, Atmospheric monitoring, LIDAR, Ocean optics, Atmospheric particles, Reflectivity

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Proceedings Article | 1 June 2005 Paper

Paper

Manifold learning techniques for the analysis of hyperspectral ocean data

David Gillis, Jeffrey Bowles, Gia Lamela, William Rhea, Charles Bachmann, Marcos Montes, Tom Ainsworth

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.603660

KEYWORDS: Data modeling, Water, Reflectivity, Principal component analysis, Hyperspectral imaging, Sensors, Image sensors, Image processing, Ocean optics, Inverse optics

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Proceedings Article | 12 August 2004 Paper

Paper

Error analysis in hyperspectral unmixing

David Gillis, Jeffrey Bowles

Proceedings Volume 5425, (2004) https://doi.org/10.1117/12.542501

KEYWORDS: Error analysis, Target detection, Statistical analysis, Signal to noise ratio, Interference (communication), Sensors, Mathematical modeling, Hyperspectral imaging, Matrices, RGB color model

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Proceedings Article | 5 February 2004 Paper

Paper

Target detection in hyperspectral imagery using demixed spectral angles

David Gillis, Jeffrey Bowles

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.510835

KEYWORDS: Target detection, Principal component analysis, Hyperspectral imaging, Sensors, Detection and tracking algorithms, Hyperspectral target detection, Data modeling, Image sensors, Minerals, Spectral resolution

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Proceedings Article | 7 January 2004 Paper

Paper

New directions in the development of the ORASIS algorithm

Jeffrey Bowles, Wei Chen, David Gillis

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.509933

KEYWORDS: Algorithm development, Wavelets, Detection and tracking algorithms, Target detection, Target recognition, Sensors, Signal to noise ratio, RGB color model, Error analysis, Analytical research

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Proceedings Article | 23 September 2003 Paper

Paper

Dimensionality reduction in hyperspectral imagery

David Gillis, Jeffrey Bowles, Michael Winter

Proceedings Volume 5093, (2003) https://doi.org/10.1117/12.487180

KEYWORDS: Condition numbers, Hyperspectral imaging, Projection systems, Error analysis, Interference (communication), Principal component analysis, Linear algebra, Image sensors, Spectral resolution, Sensors

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Proceedings Article | 30 January 2003 Paper

Paper

Compression algorithm for hyperspectral imagery using the linear mixing model and wavelet transformation

Wei Chen, David Gillis, Jeffrey Bowles, Curtiss Davis

Proceedings Volume 4793, (2003) https://doi.org/10.1117/12.463646

KEYWORDS: Image compression, Data compression, Wavelets, Data modeling, Hyperspectral imaging, Remote sensing, Signal to noise ratio, Discrete wavelet transforms, Wavelet transforms, Image processing

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Proceedings Article | 8 November 2002 Paper

Paper

Using endmembers as a coordinate system in hyperspectral imagery

David Gillis, Jeffrey Bowles, Michael Winter

Proceedings Volume 4816, (2002) https://doi.org/10.1117/12.453775

KEYWORDS: Principal component analysis, Hyperspectral imaging, Sensors, Data modeling, Detection and tracking algorithms, Coastal modeling, Mathematical modeling, Target detection, Spectral resolution, Image sensors

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Proceedings Article | 20 August 2001 Paper

Paper

Automatic target-recognition system for hyperspectral imagery using ORASIS

David Gillis, Peter Palmadesso, Jeffrey Bowles

Proceedings Volume 4381, (2001) https://doi.org/10.1117/12.437017

KEYWORDS: Automatic target recognition, Target recognition, Image quality, Detection and tracking algorithms, Hyperspectral imaging, Target detection, Analytical research, Spatial filters, Sensors, Error analysis

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Proceedings Article | 28 December 1999 Paper

Paper

Naval EarthMap Observer: overview and data processing

Jeffrey Bowles, Curtiss Davis, Megan Carney, Dean Clamons, Bo-Cai Gao, David Gillis, Mary Kappus, G. Lamela, Marcos Montes, Peter Palmadesso, J. Rhea, William Snyder

Proceedings Volume 3870, (1999) https://doi.org/10.1117/12.373185

KEYWORDS: Calibration, Spectroscopy, Satellites, Data processing, Space operations, Ocean optics, Sensors, Image processing, Short wave infrared radiation

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Proceedings Article | 27 October 1999 Paper

Paper

New results from the ORASIS/NEMO compression algorithm

Jeffrey Bowles, Dean Clamons, David Gillis, Peter Palmadesso, John Antoniades, Mark Baumback, Mark Daniel, John Grossmann, Daniel Haas, Jeffrey Skibo

Proceedings Volume 3753, (1999) https://doi.org/10.1117/12.366284

KEYWORDS: Sensors, Interference (communication), Spectroscopy, Satellites, Data compression, Reconstruction algorithms, Image processing, Image compression, Short wave infrared radiation

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Proceedings Article | 2 July 1998 Paper

Paper

Hyperspectral analysis and target detection system for the Adaptive Spectral Reconnaissance Program (ASRP)

John Grossmann, Jeffrey Bowles, Daniel Haas, John Antoniades, Mitchell Grunes, Peter Palmadesso, David Gillis, Kwok Tsang, Mark Baumback, Mark Daniel, John Fisher, Ioana Triandaf

Proceedings Volume 3372, (1998) https://doi.org/10.1117/12.312591

KEYWORDS: Target detection, Detection and tracking algorithms, Automatic target recognition, Analytical research, Hyperspectral imaging, Scanners, Hyperspectral target detection, Spatial filters, Reconnaissance systems, Reconnaissance

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Showing 5 of 26 publications

Conference Committee Involvement (4)

Imaging Spectrometry XIV

3 August 2009 | San Diego, California, United States

Imaging Spectrometry XIII

12 August 2008 | San Diego, California, United States

Imaging Spectrometry XII

28 August 2007 | San Diego, California, United States

Imaging Spectrometry XI

14 August 2006 | San Diego, California, United States

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