Dr. Drew Paylor Profile

Dr. Drew Paylor

Senior Staff Engineer at Northrop Grumman Corp

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Publications (5)

Proceedings Article | 21 May 2015 Paper

Virtual dimensionality analysis for hyperspectral imagery

Chein-I Chang, Li-Chien Lee, Drew Paylor

Proceedings Volume 9501, 95010R (2015) https://doi.org/10.1117/12.2176772

KEYWORDS: Binary data, Sensors, Statistical analysis, Nickel, Algorithm development, Signal detection, Hyperspectral imaging, Hyperspectral target detection, Composites, Error analysis

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Proceedings Article | 22 May 2014 Paper

A theory of least-squares target-specified virtual dimensionality in hyperspectral imagery

Drew Paylor, Chein-I Chang

Proceedings Volume 9124, 912402 (2014) https://doi.org/10.1117/12.2050994

KEYWORDS: Interference (communication), Hyperspectral imaging, Error analysis, Roads, Sensors, Signal detection, Calcite, Data modeling, Feldspar, Statistical analysis

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Proceedings Article | 22 May 2014 Paper

Anomaly discrimination in hyperspectral imagery

Shih-Yu Chen, Drew Paylor, Chein-I Chang

Proceedings Volume 9124, 91240C (2014) https://doi.org/10.1117/12.2049030

KEYWORDS: Target detection, Sensors, Detection and tracking algorithms, Hyperspectral imaging, Image processing, Optical inspection, Algorithm development, Hyperspectral target detection, Signal detection, Detector development

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Proceedings Article | 24 September 2013 Paper

Anomaly-specified virtual dimensionality

Shih-Yu Chen, Drew Paylor, Chein-I Chang

Proceedings Volume 8871, 88710C (2013) https://doi.org/10.1117/12.2027861

KEYWORDS: Sensors, Principal component analysis, Detection and tracking algorithms, Algorithm development, Signal to noise ratio, Electroluminescence, Image analysis, Minerals, Image processing, Hyperspectral imaging

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Proceedings Article | 18 May 2013 Paper

Second order statistics target-specified virtual dimensionality

Drew Paylor, Chein-I Chang

Proceedings Volume 8743, 87430X (2013) https://doi.org/10.1117/12.2015454

KEYWORDS: Principal component analysis, Interference (communication), Detection and tracking algorithms, Sensors, Signal to noise ratio, Error analysis, Minerals, Image processing, Statistical analysis, Hyperspectral imaging

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