Dr. Shawn W. Miller Profile

Dr. Shawn W. Miller

Sr Principal Systems Engineer at RTX Corp

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Publications (8)

Proceedings Article | 24 October 2012 Paper

Advancements in large-format SiPIN hybrid focal plane technology

B. Kean, S. Kilcoyne, N. Malone, G. Wilberger, R. Troup, S. Miller, K. Brown, J. Vampola

Proceedings Volume 8511, 851111 (2012) https://doi.org/10.1117/12.964392

KEYWORDS: Sensors, Readout integrated circuits, Modulation transfer functions, Staring arrays, Electronics, Image sensors, Quantum efficiency, Imaging systems, Interfaces, Silicon

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Proceedings Article | 23 October 2012 Paper

Expected performance of the Visible Infrared Imager Radiometer Suite (VIIRS) without detector sample aggregation

John Steele, Jeffery Puschell, Carl Schueler, Shawn Miller, Kerry Grant, Thomas Lee

Proceedings Volume 8516, 851606 (2012) https://doi.org/10.1117/12.942635

KEYWORDS: Sensors, Spatial resolution, Space operations, Satellites, Infrared imaging, Imaging systems, Radiometry, Clouds, Image sensors, Aerosols

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Proceedings Article | 14 October 2004 Paper

Quantifying effects of lossy data compression on animation from geosynchronous imagers

Jeffery Puschell, Shawn Miller

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.562104

KEYWORDS: Video, Video compression, Imaging systems, Signal to noise ratio, Image compression, Data compression, Distortion, Clouds, Remote sensing, Visual system

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Proceedings Article | 14 October 2004 Paper

Lossy data compression for next-generation imager data

Shawn Miller, Jeffery Puschell

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.562624

KEYWORDS: MODIS, Data compression, Image compression, Clouds, Spatial resolution, Imaging systems, Signal to noise ratio, Chromium, Remote sensing, Satellites

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Proceedings Article | 14 October 2004 Paper

End-to-end simulation for support of remote sensing systems design

Shawn Miller, William Bergen

Proceedings Volume 5548, (2004) https://doi.org/10.1117/12.560039

KEYWORDS: Reflectivity, MODIS, Near infrared, Systems modeling, Data modeling, Spatial resolution, Remote sensing, Instrument modeling, Radiometry, Atmospheric modeling

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Proceedings Article | 9 April 2003 Paper

NPOESS VIIRS: next-generation polar-orbiting atmospheric imager

Carl Schueler, John Clement, Shawn Miller, Peter Kealy, Philip Ardanuy, Stephen Cota, Frank De Luccia, John Haas, Stephen Mango, Kenneth Speidel, Hilmer Swenson

Proceedings Volume 4891, (2003) https://doi.org/10.1117/12.467564

KEYWORDS: Sensors, MODIS, Long wavelength infrared, Staring arrays, Clouds, Computer aided design, Calibration, Imaging systems, Space telescopes, Telescopes

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A new era in atmospheric remote sensing will begin with the launch of the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) spacecraft in 2006, and the multiple operational NPOESS launches in sun-synchronous orbital planes (nominally 13:30, 17:30, or 21:30 local equatorial crossing times) starting in 2009. Cloud and atmosphere polar-orbiting environmental satellite data will be profoundly improved in radiometric quality, spectral coverage, and spatial resolution relative to current operational civilian and military polar-orbiting systems. The NPOESS Visible Infrared Imaging Radiometer Suite (VIIRS) will provide Environmental Data Records (EDRs) for day and night atmosphere and cloud operational requirements, as well as sea surface temperature (SST) and many important land EDRs by ground processing of raw data records (RDRs) from the VIIRS sensor. VIIRS will replace three currently operating sensors: the Defense Meteorological Satellite Program (DMSP) Operational Line-scanning System (OLS), the NOAA Polar-orbiting Operational Environmental Satellite (POES) Advanced Very High Resolution Radiometer (AVHRR), and the NASA Earth Observing System (EOS Terra and Aqua) MODerate-resolution Imaging Spectroradiometer (MODIS). This paper describes the VIIRS all-reflective 22-band single-sensor design, following the Critical Design Review (CDR) in Spring 2002. VIIRS provides low noise (driven by ocean color for the reflective visible and near-IR spectral bands and by SST for the emissive mid and long-wave IR spectral bands), excellent calibration and stability (driven by atmospheric aerosol and cloud EDRs, as well as SST), broad spectral coverage, and fine spatial resolution driven by the cloud imagery EDR. In addition to improved radiometric, spectral, and spatial performance, VIIRS features DMSP OLS-like near-constant resolution, global twice-daily coverage in each orbit plane, and direct heritage to proven design innovations from the successful Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Earth Observing System (Terra and Aqua) MODIS.

Proceedings Article | 24 September 2002 Paper

Use of CAIV techniques to build advanced VIIRS approaches for NPOESS key EDRs

Philip Ardanuy, Carl Schueler, Shawn Miller, Ken Jensen, William Emery

Proceedings Volume 4814, (2002) https://doi.org/10.1117/12.453740

KEYWORDS: MODIS, Sensors, Soil science, Spatial resolution, Long wavelength infrared, Imaging systems, Radiometry, Mid-IR, Infrared radiation, Microwave radiation

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The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Visible and Infrared Imager/Radiometer Suite (VIIRS) has responsibility for 23 Environmental Data Recrods (EDRs), three of them key NPOESS EDRs of highest value to opertional users: Imagery, Sea Surface Temrpature (SST), and Soil Moisture (primary EDR from the NPOESS conical microwave imager/sounder [CMIS]). The VIIRS design was guided by a set of government requirements priorities, which were topped by key EDR performance. Taking advantage of the MODerate-resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field Sensor (SeaWiFs) heritage, Raytheon's challenge was to optimize VIIRS system performance using Cost As Independent Variable (CAIV) analyses. The SST key EDR solution combines the traditional long-wave infrared (LWIR) split window with a second split window in the mid-wave infrared (MWIR) 3-4 μm region to offer a globally robust "dual split-window" SST algorithm operable daytime and nighttime with a precision of 0.25 K, and an overall uncertainty of 0.35 K (intermediate objective) across the entire SST measurement range. This capability was recently validated by the heritage MODIS on NASA's Terra satellite. The imagery key EDR solution permits superb multi-spectral detection and discrimination of cloud presence and type MODIS. The soil moisture solution is a cross-sensor fusion approach that combines the finer spatial resolution of VIIRS with traditional coarse resolution microwave-derived soil moisture retrievals to achieve objectives under open and partially vegetated scenes. This paper briefly describes the VIIRS sensor design, the key EDR performance, and the CAIV design process with three specific hardware and EDR tradeoff exmaples. Finally, the paper concludes with a description of the key risk-reduction design processes that led to a relativley low-risk (for advanced space-borne hardware programs) developmental design, which is now approaching hardware realization.

Proceedings Article | 18 January 2002 Paper

NPOESS VIIRS design process

Philip Ardanuy, Carl Schueler, Shawn Miller, Peter Kealy, Stephen Cota, Mike Haas, Carol Welsch

Proceedings Volume 4483, (2002) https://doi.org/10.1117/12.453461

KEYWORDS: Sensors, Computer aided design, Clouds, Remote sensing, MODIS, Imaging systems, Data modeling, Computer simulations, Environmental sensing, RGB color model

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