Dr. Colin C. Olson Profile

Dr. Colin C. Olson

at US Naval Research Lab

SPIE Involvement:

Author

Publications (23)

Proceedings Article | 9 September 2019 Paper

Automated design of optical architectures using novel encoding methods and a multi-objective optimization framework

C. Olson

Proceedings Volume 11105, 111050B (2019) https://doi.org/10.1117/12.2530928

KEYWORDS: Lens design, Optical design, Lenses, Optimization (mathematics), Computer programming, Objectives, Imaging systems, Chemical elements, Glasses, Optical components

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Proceedings Article | 17 September 2018 Paper

A comparison of encoding methods for automated design of optical architectures

C. Olson, L. Evans, N. Bayya, J. Edelberg

Proceedings Volume 10746, 107460J (2018) https://doi.org/10.1117/12.2321649

KEYWORDS: Computer programming, Lenses, Optical design, Lens design, Optimization (mathematics)

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Proceedings Article | 17 May 2018 Paper

A study of the effect of alternative similarity measures on the performance of graph-based anomaly detection algorithms

T. Emerson, C. Olson, T. Doster

Proceedings Volume 10644, 106440F (2018) https://doi.org/10.1117/12.2306090

KEYWORDS: Data modeling, Detection and tracking algorithms, Distance measurement, Statistical modeling, Sensors, Principal component analysis, Algorithm development, Hyperspectral imaging, Target detection, Matrices

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Proceedings Article | 8 May 2018 Paper

Kernel PCA for anomaly detection in hyperspectral images using spectral-spatial fusion

R. Meinhold, C. Olson, T. Doster

Proceedings Volume 10644, 1064427 (2018) https://doi.org/10.1117/12.2306359

KEYWORDS: Data modeling, Image fusion, Hyperspectral imaging, Principal component analysis, Multispectral imaging, Data fusion, Detection and tracking algorithms

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Proceedings Article | 19 July 2017 Paper

A study of anomaly detection performance as a function of relative spectral abundances for graph- and statistics-based detection algorithms

C. Olson, M. Coyle, T. Doster

Proceedings Volume 10198, 101980X (2017) https://doi.org/10.1117/12.2264160

KEYWORDS: Statistical analysis, Detection and tracking algorithms, Statistical modeling, Error analysis

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Proceedings Article | 5 May 2017 Paper

Designing manufacturable filters for a 16-band plenoptic camera using differential evolution

Timothy Doster, Colin Olson, Erin Fleet, Michael Yetzbacher, Andrey Kanaev, Paul Lebow, Robert Leathers

Proceedings Volume 10198, 1019803 (2017) https://doi.org/10.1117/12.2262574

KEYWORDS: Optical filters, Target detection, Cameras, Compressed sensing, Hyperspectral target detection, Design for manufacturability, Image filtering, Imaging systems, Optimization (mathematics), Bandpass filters, Computational imaging, Multispectral imaging

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Proceedings Article | 25 May 2016 Paper

A parametric study of unsupervised anomaly detection performance in maritime imagery using manifold learning techniques

C. Olson, T. Doster

Proceedings Volume 9840, 984016 (2016) https://doi.org/10.1117/12.2227226

KEYWORDS: Data modeling, Statistical modeling, Detection and tracking algorithms, Target detection, Target detection, Detection and tracking algorithms, Principal component analysis, Solids, Error analysis, Infrared imaging, Infrared radiation, Sensors

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Proceedings Article | 25 May 2016 Paper

Building robust neighborhoods for manifold learning-based image classification and anomaly detection

Timothy Doster, Colin Olson

Proceedings Volume 9840, 984015 (2016) https://doi.org/10.1117/12.2227224

KEYWORDS: Image classification, Distance measurement, Sensors, Image analysis, Image processing, Algorithm development, Detection and tracking algorithms, Neodymium, Dimension reduction, Infrared imaging

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Proceedings Article | 20 June 2014 Paper

Real-time target tracking for a 360-degree panoramic IR imager

C. Olson, J. Waterman, J. Nichols

Proceedings Volume 9091, 909108 (2014) https://doi.org/10.1117/12.2054219

KEYWORDS: Detection and tracking algorithms, Imaging systems, Panoramic photography, Infrared imaging, Systems modeling, Graphics processing units, Sensors, Ions, Analytical research, Environmental sensing

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SPIE Journal Paper | 17 July 2013

Automated detection of watercraft in short-wave infrared imagery

Colin Olson, K. Peter Judd, Krishnan Chander, Andrew Smith, Max Conant, Jonathan Nichols, James Waterman

OE, Vol. 52, Issue 07, 073109, (July 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.7.073109

KEYWORDS: Wavelets, Target detection, Short wave infrared radiation, Infrared imaging, Sensors, Associative arrays, Infrared radiation, Wavelet transforms, Linear filtering, Infrared detectors

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Proceedings Article | 8 June 2012 Paper

Improving sparse representation algorithms for maritime video processing

L. Smith, J. Nichols, J. Waterman, C. Olson, K. Judd

Proceedings Volume 8365, 836508 (2012) https://doi.org/10.1117/12.920756

KEYWORDS: Associative arrays, Data modeling, Image quality, Image compression, Super resolution, Denoising, Chemical species, Wavelets, Video, Short wave infrared radiation

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Proceedings Article | 18 May 2012 Paper

Discriminative dictionaries for automated target recognition

C. Olson, K. Judd, L. Smith, J. M. Nichols

Proceedings Volume 8392, 83920N (2012) https://doi.org/10.1117/12.920725

KEYWORDS: Associative arrays, Data modeling, Detection and tracking algorithms, Target detection, Electro optical modeling, Image processing, Target recognition, Wavelets, Statistical modeling, Infrared imaging

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Proceedings Article | 3 May 2012 Paper

Watercraft detection in short-wave infrared imagery using a tailored wavelet basis

C. Olson, K. Judd, K. Chander, A. Smith, M. Conant, J. M. Nichols

Proceedings Volume 8391, 83910K (2012) https://doi.org/10.1117/12.919943

KEYWORDS: Wavelets, Target detection, Detection and tracking algorithms, Discrete wavelet transforms, Neodymium, Associative arrays, Infrared imaging, Short wave infrared radiation, Infrared radiation, Edge detection

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Proceedings Article | 5 May 2011 Paper

On the use of diffusion maps for image fusion

C. Olson, J. Nichols, K. P. Judd, F. Bucholtz

Proceedings Volume 8050, 80501D (2011) https://doi.org/10.1117/12.884266

KEYWORDS: Diffusion, Sensors, Image fusion, Data acquisition, Physics, Data fusion, Principal component analysis, Image registration, Signal processing, Analytical research

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Proceedings Article | 13 May 2010 Paper

Improved outlier identification in hyperspectral imaging via nonlinear dimensionality reduction

C. Olson, J. Nichols, J. Michalowicz, F. Bucholtz

Proceedings Volume 7695, 769507 (2010) https://doi.org/10.1117/12.851811

KEYWORDS: Diffusion, Hyperspectral imaging, Distance measurement, Sensors, Principal component analysis, Associative arrays, Target detection, Sensor performance, Detection and tracking algorithms, Receivers

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Proceedings Article | 11 May 2009 Paper

An optimal nonlinear filter for detecting non-normality in a signal using the bicoherence

Jonathan Nichols, Colin Olson, Joseph Michalowicz, Frank Bucholtz

Proceedings Volume 7336, 73361D (2009) https://doi.org/10.1117/12.818483

KEYWORDS: Nonlinear filtering, Signal detection, Signal processing, Receivers, Statistical analysis, Electronic filtering, Linear filtering, Sensors, Complex systems, Analytical research

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Proceedings Article | 30 April 2009 Paper

Tailored disruption of phase-locked loops via evolutionary algorithms

C. Olson, J. Nichols, J. Michalowicz, F. Bucholtz

Proceedings Volume 7347, 73470S (2009) https://doi.org/10.1117/12.818487

KEYWORDS: Modulation, Phase shift keying, Oscillators, Evolutionary algorithms, Sensors, Signal detection, Linear filtering, Electronic filtering, Complex systems, Ordinary differential equations

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Proceedings Article | 10 April 2008 Paper

Optimized guided wave excitations for health monitoring of a bolted joint

Timothy Fasel, Colin Olson, Michael Todd

Proceedings Volume 6935, 69351N (2008) https://doi.org/10.1117/12.778527

KEYWORDS: Autoregressive models, Microsoft Foundation Class Library, Modulation, Evolutionary algorithms, Structural health monitoring, Waveguides, Ultrasonics, Detection and tracking algorithms, Feature extraction, Damage detection

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Proceedings Article | 11 April 2007 Paper

Tailored deterministic and stochastic excitations for structural health monitoring via evolutionary algorithms

Colin Olson, M. Todd

Proceedings Volume 6532, 653210 (2007) https://doi.org/10.1117/12.715319

KEYWORDS: Damage detection, Stochastic processes, Evolutionary algorithms, Structural health monitoring, Signal to noise ratio, Optimization (mathematics), Fourier transforms, Ordinary differential equations, Mathematical modeling, Signal processing

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Proceedings Article | 15 March 2006 Paper

Tailored excitations for structural health monitoring via evolutionary programming

Colin Olson, M. Todd

Proceedings Volume 6177, 61770R (2006) https://doi.org/10.1117/12.658568

KEYWORDS: Structural health monitoring, Computer programming, Damage detection, Oscillators, Chaos, Computing systems, Analytical research, Fractal analysis, System integration, Error analysis

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Proceedings Article | 9 May 2005 Paper

Exploring damage sensitivity of state-space based prediction error methods for structural health monitoring

Lucas Overbey, Colin Olson, M. Todd

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598893

KEYWORDS: Structural health monitoring, Error analysis, Damage detection, Stochastic processes, Complex systems, Time metrology, Structural engineering, Data modeling, Lanthanum, Safety

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Proceedings Article | 9 May 2005 Paper

Sensitivity and computational comparison of state-space methods for structural health monitoring

Colin Olson, Lucas Overbey, M. Todd

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598894

KEYWORDS: Structural health monitoring, Stochastic processes, Damage detection, Oscillators, LabVIEW, Error analysis, Data processing, Network architectures, Statistical analysis, Environmental sensing

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Proceedings Article | 9 May 2005 Paper

Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence

M. Todd, J. Nichols, C. Olson, L. Overbey

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.599110

KEYWORDS: Structural health monitoring, Data modeling, Feature extraction, System identification, Modal analysis, Data processing, Nondestructive evaluation, Analytical research, Statistical analysis, Stochastic processes

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Showing 5 of 23 publications

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