Mr. Jeffrey A. Mercier Profile

Jeffrey A. Mercier

at Sandia National Labs

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Author

Publications (4)

Proceedings Article | 27 September 2013 Paper

Thermally stable imaging channeled spectropolarimetry

Julia Craven-Jones, Brandyn Way, Jeff Hunt, Michael Kudenov, Jeffrey Mercier

Proceedings Volume 8873, 88730J (2013) https://doi.org/10.1117/12.2024112

KEYWORDS: Wave plates, Ferroelectric materials, Temperature metrology, Polarization, Crystals, Modulation, Imaging systems, Calibration, Spectrometers, Short wave infrared radiation

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Proceedings Article | 15 October 2012 Paper

Optical design and performance testing of an athermal SWIR gas correlation imager

A. Rynes, M. Smith, J. Mercier, S. Vigil, T. Embree, A. Ison

Proceedings Volume 8491, 84910B (2012) https://doi.org/10.1117/12.928001

KEYWORDS: Tolerancing, Sensors, Optical design, Silicon, Objectives, Imaging systems, Modulation transfer functions, Short wave infrared radiation, Optical alignment, Beam splitters

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Proceedings Article | 3 May 2012 Paper

Using GIS databases for simulated nightlight imagery

Joshua Zollweg, Michael Gartley, John Roskovensky, Jeffery Mercier

Proceedings Volume 8396, 83960C (2012) https://doi.org/10.1117/12.919510

KEYWORDS: Databases, Buildings, Geographic information systems, Scene simulation, Roads, Light sources, Imaging systems, Data modeling, MATLAB, Digital imaging

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Proposed is a new technique for simulating nighttime scenes with realistically-modelled urban radiance. While nightlight imagery is commonly used to measure urban sprawl,1 it is uncommon to use urbanization as metric to develop synthetic nighttime scenes. In the developed methodology, the open-source Open Street Map (OSM) Geographic Information System (GIS) database is used. The database is comprised of many nodes, which are used to dene the position of dierent types of streets, buildings, and other features. These nodes are the driver used to model urban nightlights, given several assumptions. The rst assumption is that the spatial distribution of nodes is closely related to the spatial distribution of nightlights. Work by Roychowdhury et al has demonstrated the relationship between urban lights and development. 2 So, the real assumption being made is that the density of nodes corresponds to development, which is reasonable. Secondly, the local density of nodes must relate directly to the upwelled radiance within the given locality. Testing these assumptions using Albuquerque and Indianapolis as example cities revealed that dierent types of nodes produce more realistic results than others. Residential street nodes oered the best performance for any single node type, among the types tested in this investigation. Other node types, however, still provide useful supplementary data. Using streets and buildings dened in the OSM database allowed automated generation of simulated nighttime scenes of Albuquerque and Indianapolis in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. The simulation was compared to real data from the recently deployed National Polar-orbiting Operational Environmental Satellite System(NPOESS) Visible Infrared Imager Radiometer Suite (VIIRS) platform. As a result of the comparison, correction functions were used to correct for discrepancies between simulated and observed radiance. Future work will include investigating more advanced approaches for mapping the spatial extent of nightlights, based on the distribution of dierent node types in local neighbourhoods. This will allow the spectral prole of each region to be dynamically adjusted, in addition to simply modifying the magnitude of a single source type.

Proceedings Article | 7 January 2004 Paper

Digital elevation extraction from multiple MTI data sets

Jeffrey Mercier, Robert Schowengerdt, James Storey, Jody Smith

Proceedings Volume 5159, (2004) https://doi.org/10.1117/12.509761

KEYWORDS: Sensors, Image processing, Satellite imaging, Space operations, Telescopes, Data modeling, Satellites, Cameras, Imaging systems, Algorithm development

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