Dr. Stephen A. Cota Profile

Dr. Stephen A. Cota

System Director at Aerospace Corp

SPIE Involvement:

Author

Proceedings Article | 8 September 2015 Paper

Simple techniques for modeling wavefront error in imaging systems

Scott Schnee, Stephen Cota

Proceedings Volume 9607, 96071B (2015) https://doi.org/10.1117/12.2191325

KEYWORDS: Wavefronts, Modulation transfer functions, Mirrors, Spatial frequencies, Point spread functions, Optics manufacturing, Error analysis, Image analysis, Systems modeling, Imaging systems

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Proceedings Article | 8 September 2015 Paper

Modeling spectrally varying resolution in broadband imaging systems

Stephen Cota, Scott Schnee, Adam Loverro

Proceedings Volume 9607, 96071A (2015) https://doi.org/10.1117/12.2191305

KEYWORDS: Optical transfer functions, Image analysis, Sensors, Imaging systems, Atmospheric modeling, Image resolution, Image sensors, Remote sensing, Spectral resolution, Image quality

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Proceedings Article | 7 September 2011 Paper

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems II. Extension to the thermal infrared: equations and methods

Stephen Cota, Terrence Lomheim, Christopher Florio, Jeffrey Harbold, B. Michael Muto, Richard Schoolar, Daniel Wintz, Robert Keller

Proceedings Volume 8158, 81580G (2011) https://doi.org/10.1117/12.892808

KEYWORDS: Sensors, Systems modeling, Diffusion, Staring arrays, Near field, Photons, Modulation transfer functions, Absorption, Thermography, Remote sensing

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Proceedings Article | 26 August 2010 Paper

Predicting top-of-atmosphere radiance for arbitrary viewing geometries from the visible to thermal infrared

Steve Cota, Linda Kalman

Proceedings Volume 7813, 781307 (2010) https://doi.org/10.1117/12.861882

KEYWORDS: Reflectivity, Sensors, Atmospheric sensing, Solar radiation, Remote sensing, Image analysis, Optical sensors, Sensing systems, Earth's atmosphere, Atmospheric modeling

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Proceedings Article | 26 August 2010 Paper

Predicting top-of-atmosphere radiance for arbitrary viewing geometries from the visible to thermal infrared: generalization to arbitrary average scene temperatures

Christopher Florio, Steve Cota, Stephanie Gaffney

Proceedings Volume 7813, 781308 (2010) https://doi.org/10.1117/12.861885

KEYWORDS: Atmospheric modeling, Data modeling, Solar radiation models, Sensors, Visible radiation, Thermography, Image analysis, Earth's atmosphere, Reflectivity, Error analysis

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SPIE Journal Paper | 1 June 2010

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems

Stephen Cota, Jabin Bell, Richard Boucher, Tracy Dutton, Christopher Florio, Geoffrey Franz, Thomas Grycewicz, Linda Kalman, Robert Keller, Terrence Lomheim, Diane Paulson, Timothy Wilkinson

JARS, Vol. 4, Issue 01, 043535, (June 2010) https://doi.org/10.1117/12.10.1117/1.3457476

KEYWORDS: Sensors, Image quality, Signal to noise ratio, Reflectivity, Imaging systems, Sun, Image resolution, Image analysis, Modulation transfer functions, Spatial frequencies

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SPIE Journal Paper | 1 June 2010

Focal plane resolution and overlapped array time delay and integrate imaging

Thomas Grycewicz, Stephen Cota, Terrence Lomheim, Linda Kalman

JARS, Vol. 4, Issue 01, 043537, (June 2010) https://doi.org/10.1117/12.10.1117/1.3355378

KEYWORDS: Image resolution, Staring arrays, Imaging systems, Optical transfer functions, Image analysis, Sensors, Satellites, Image enhancement, Systems modeling, Image registration

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Proceedings Article | 12 August 2009 Paper

The use of the general image quality equation in the design and evaluation of imaging systems

Steve Cota, Christopher Florio, David Duvall, Michael Leon

Proceedings Volume 7458, 74580H (2009) https://doi.org/10.1117/12.829024

KEYWORDS: Signal to noise ratio, Image quality, Reflectivity, Sensors, Imaging systems, Image analysis, Atmospheric modeling, Modulation transfer functions, Filtering (signal processing), Air contamination

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Proceedings Article | 25 August 2008 Paper

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems

Steve Cota, Jabin Bell, Richard Boucher, Tracy Dutton, Chris Florio, Geoffrey Franz, Thomas Grycewicz, Linda Kalman, Robert Keller, Terrence Lomheim, Diane Paulson, Timothy Willkinson

Proceedings Volume 7087, 708703 (2008) https://doi.org/10.1117/12.797988

KEYWORDS: Sensors, Image quality, Signal to noise ratio, Reflectivity, Sun, Imaging systems, Image resolution, Image analysis, Spatial frequencies, Satellites

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Proceedings Article | 25 August 2008 Paper

Focal plane resolution and overlapped array TDI imaging

Thomas Grycewicz, Stephen Cota, Terrence Lomheim, Linda Kalman

Proceedings Volume 7087, 708704 (2008) https://doi.org/10.1117/12.798160

KEYWORDS: Image resolution, Staring arrays, Imaging systems, Imaging arrays, Optical transfer functions, Image analysis, Sensors, Systems modeling, Image registration, Satellites

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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 | 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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Proceedings Article | 1 September 1990 Paper

Advanced sensor-simulation capability

Stephen Cota, Linda Kalman, Robert Keller

Proceedings Volume 1310, (1990) https://doi.org/10.1117/12.21801

KEYWORDS: Sensors, Image processing, Signal to noise ratio, Digital filtering, Signal processing, Systems modeling, Imaging systems, Target detection, Analog filtering, Point spread functions

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Showing 5 of 13 publications

Conference Committee Involvement (6)

Remote Sensing System Engineering VI

1 September 2016 | San Diego, California, United States

Remote Sensing System Engineering V

18 August 2014 | San Diego, California, United States

Remote Sensing System Engineering IV

12 August 2012 | San Diego, California, United States

Remote Sensing System Engineering III

2 August 2010 | San Diego, California, United States

Remote Sensing System Engineering II

4 August 2009 | San Diego, California, United States

Showing 5 of 6 Conference Committees

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