Ms. Melissa E. Jansen Profile

Melissa E. Jansen

Electrical Engineer at JHU/APL

SPIE Involvement:

Author

Proceedings Article | 17 May 2016 Paper

Comparing performance of standard and iterative linear unmixing methods for hyperspectral signatures

Travis Gault, Melissa Jansen, Mallory DeCoster, E. David Jansing, Benjamin Rodriguez

Proceedings Volume 9840, 984027 (2016) https://doi.org/10.1117/12.2224060

KEYWORDS: Monte Carlo methods, Iterative methods, Databases, Computer simulations, Long wavelength infrared, Sensors, Applied physics, Algorithm development, Spectroscopy, Electroluminescent displays

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Linear unmixing is a method of decomposing a mixed signature to determine the component materials that are present in sensor’s ﬁeld of view, along with the abundances at which they occur. Linear unmixing assumes that energy from the materials in the ﬁeld of view is mixed in a linear fashion across the spectrum of interest. Traditional unmixing methods can take advantage of adjacent pixels in the decomposition algorithm, but is not the case for point sensors. This paper explores several iterative and non-iterative methods for linear unmixing, and examines their eﬀectiveness at identifying the individual signatures that make up simulated single pixel mixed signatures, along with their corresponding abundances. The major hurdle addressed in the proposed method is that no neighboring pixel information is available for the spectral signature of interest. Testing is performed using two collections of spectral signatures from the Johns Hopkins University Applied Physics Laboratory’s Signatures Database software (SigDB): a hand-selected small dataset of 25 distinct signatures from a larger dataset of approximately 1600 pure visible/near-infrared/short-wave-infrared (VIS/NIR/SWIR) spectra. Simulated spectra are created with three and four material mixtures randomly drawn from a dataset originating from SigDB, where the abundance of one material is swept in 10% increments from 10% to 90%with the abundances of the other materials equally divided amongst the remainder. For the smaller dataset of 25 signatures, all combinations of three or four materials are used to create simulated spectra, from which the accuracy of materials returned, as well as the correctness of the abundances, is compared to the inputs. The experiment is expanded to include the signatures from the larger dataset of almost 1600 signatures evaluated using a Monte Carlo scheme with 5000 draws of three or four materials to create the simulated mixed signatures. The spectral similarity of the inputs to the output component signatures is calculated using the spectral angle mapper. Results show that iterative methods signiﬁcantly outperform the traditional methods under the given test conditions.

Proceedings Article | 5 September 2014 Paper

Method for separating video camera motion from scene motion for constrained 3D displacement measurements

L. Gauthier, M. Jansen, J. Meyer

Proceedings Volume 9202, 92021V (2014) https://doi.org/10.1117/12.2064070

KEYWORDS: Cameras, Motion measurement, Calibration, 3D metrology, Video, Data processing, Spherical lenses, Matrices, Imaging systems, Motion analysis

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Proceedings Article | 5 September 2014 Paper

Single video camera method for using scene metrics to measure constrained 3D displacements

L. Gauthier, M. Jansen, J. Meyer

Proceedings Volume 9202, 92021L (2014) https://doi.org/10.1117/12.2064069

KEYWORDS: Cameras, 3D metrology, Video, Motion measurement, Calibration, Optical tracking, Light sources and illumination, Temporal resolution, 3D modeling, Spherical lenses

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Proceedings Article | 31 May 2013 Paper

Translucent triboluminescent coatings for particle detection

M. Jansen, L. Gauthier, D. Bisson, J. Meyer

Proceedings Volume 8720, 872003 (2013) https://doi.org/10.1117/12.2015896

KEYWORDS: Particles, Translucency, Signal detection, Optical coatings, Camera shutters, Sensors, Mechanoluminescence, Glasses, Phosphorescence, Photodiodes

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Proceedings Article | 9 May 2012 Paper

Broad area optical debris impact sensor

L. Gauthier, M. Jansen, J. Meyer

Proceedings Volume 8368, 836803 (2012) https://doi.org/10.1117/12.919519

KEYWORDS: Sensors, Waveguides, Particles, Signal detection, Solar concentrators, Coating, Mirrors, Photodetectors, Micromirrors, Planar waveguides

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Proceedings Article | 28 April 2009 Paper

A model for an omnidirectional radiometer

M. Jansen, L. Gauthier, N. Rolander

Proceedings Volume 7316, 73160Q (2009) https://doi.org/10.1117/12.818650

KEYWORDS: Radiometry, Sensors, Radio optics, Solids, Signal detection, Data modeling, Electromagnetism, Optical spheres, 3D scanning, Temperature metrology

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Proceedings Article | 28 April 2009 Paper

Characterization of a triboluminescent optical sensor for detecting particles

L. Gauthier, M. Jansen, J. Meyer

Proceedings Volume 7316, 731618 (2009) https://doi.org/10.1117/12.819252

KEYWORDS: Particles, Sensors, Signal detection, Fiber optics sensors, Data acquisition, Optical sensors, Waveguides, Active optics, Optical spheres, Signal attenuation

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Showing 5 of 7 publications

Conference Committee Involvement (2)

Photonic Applications for Aviation, Aerospace, Commercial, and Harsh Environments V

19 August 2014 | San Diego, California, United States

Photonic Applications for Aerospace, Commercial, and Harsh Environments IV

29 April 2013 | Baltimore, Maryland, United States

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