Mr. Dylan Z. Anderson Profile

Dylan Z. Anderson

at Sandia National Labs

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Author

Publications (8)

Proceedings Article | 7 June 2024 Presentation + Paper

A likelihood ratio test for shrinkage covariance estimators

Dylan Anderson, John van der Laan

Proceedings Volume 13031, 1303103 (2024) https://doi.org/10.1117/12.3013476

KEYWORDS: Shrinkage, Covariance, Covariance matrices, Cross validation, Data modeling, Target detection, Statistical analysis, Hyperspectral imaging, Detection and tracking algorithms, Condition numbers

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Proceedings Article | 15 May 2020 Paper

Hyperspectral vegetation identification utilizing polynomial fitting for dimensionality reduction

John van der Laan, Brian Redman, Dylan Anderson, R. Derek West, David Yocky

Proceedings Volume 11416, 114160S (2020) https://doi.org/10.1117/12.2558172

KEYWORDS: Vegetation, Principal component analysis, Image segmentation, Spatial resolution, Hyperspectral imaging, Scene classification, Near infrared, Quantitative analysis

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Proceedings Article | 21 April 2020 Presentation + Paper

Robust terrain classification of high spatial resolution remote sensing data employing probabilistic feature fusion and pixelwise voting

R. Derek West, Brian Redman, David Yocky, John van der Laan, Dylan Anderson

Proceedings Volume 11398, 113980F (2020) https://doi.org/10.1117/12.2558196

KEYWORDS: Data modeling, Synthetic aperture radar, Spatial resolution, Remote sensing, Image segmentation, Vegetation, Image classification, Sensors

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Proceedings Article | 6 September 2019 Paper

Paired neural networks for hyperspectral target detection

Dylan Anderson, Joshua Zollweg, Braden Smith

Proceedings Volume 11139, 111390J (2019) https://doi.org/10.1117/12.2531310

KEYWORDS: Neural networks, Hyperspectral target detection, Target detection, Sensors, Nonlinear filtering, Optical filters, Bidirectional reflectance transmission function, Sensor performance, Image filtering, Hyperspectral imaging

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Proceedings Article | 17 May 2019 Presentation + Paper

Hyperspectral vegetation identification at a legacy underground nuclear explosion test site

Brian Redman, John van der Laan, Dylan Anderson, Julia Craven, Elizabeth Miller, Adam Collins, Erika Swanson, Emily Schultz-Fellenz

Proceedings Volume 11010, 110100R (2019) https://doi.org/10.1117/12.2519957

KEYWORDS: Vegetation, Hyperspectral imaging, Image segmentation, Spatial resolution, Machine learning, Reflectivity, Principal component analysis, Defense and security

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Proceedings Article | 17 May 2019 Open Access

Spectral and polarimetric remote sensing for CBRNE applications

Dylan Anderson, Leah Appelhans, Charles LaCasse, Steve Vigil, Robert Dzur, Trevor Briggs, Elizabeth Miller, Emily Schultz-Fellenz, Julia Craven

Proceedings Volume 11010, 110100P (2019) https://doi.org/10.1117/12.2521098

KEYWORDS: RGB color model, Polarimetry, Polarization, Remote sensing, Weapons of mass destruction, Bidirectional reflectance transmission function, Computer aided design, Reflectivity, Long wavelength infrared, Sensors

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Proceedings Article | 14 May 2018 Paper

Using unmanned aerial systems to collect hyperspectral imagery and digital elevation models at a legacy underground nuclear explosion test site

Dylan Anderson, Julia Craven, Robert Dzur, Trevor Briggs, Dennis Lee, Elizabeth Miller, Emily Schultz-Fellenz, Steven Vigil

Proceedings Volume 10656, 1065605 (2018) https://doi.org/10.1117/12.2304860

KEYWORDS: LIDAR, Hyperspectral imaging, Photogrammetry, Image processing, Imaging systems

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Proceedings Article | 5 May 2017 Presentation + Paper

Supervised non-negative tensor factorization for automatic hyperspectral feature extraction and target discrimination

Dylan Anderson, Aleksander Bapst, Joshua Coon, Aaron Pung, Michael Kudenov

Proceedings Volume 10198, 101980Q (2017) https://doi.org/10.1117/12.2267730

KEYWORDS: Feature extraction, Hyperspectral imaging, Target detection, Hyperspectral target detection, Matrices, Chromium, Data modeling, Principal component analysis, Sensors, Image classification, Distance measurement

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Showing 5 of 8 publications

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