Dr. Stephen J. Schiller Profile

Dr. Stephen J. Schiller

at CalVal Research

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Author

Publications (9)

Proceedings Article | 3 October 2022 Presentation

Improved radiometric calibration of land imaging systems (IRIS) for civil and commercial space

Stephen Schiller, Jeffery Puschell

Proceedings Volume 12232, 1223209 (2022) https://doi.org/10.1117/12.2633166

KEYWORDS: Calibration, IRIS Consortium, Imaging systems, Image processing, Light emitting diodes, Sun, Sensors, Reflectivity, Prototyping, Nanotechnology

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Proceedings Article | 3 October 2022 Presentation

FLARE Landsat 8/9 and Sentinel 2A/B point source archive results

Brandon Russell, Christopher Durell, Jeffrey Holt, David Conran, Stephen Schiller

Proceedings Volume 12232, 1223213 (2022) https://doi.org/10.1117/12.2631781

KEYWORDS: Landsat, Earth observing sensors, Calibration, Satellites, Data centers, Data archive systems, Standards development, Photonic integrated circuits, Mirrors, Data fusion

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Proceedings Article | 30 September 2022 Presentation + Paper

Improved Radiometric calibration of Imaging Systems (IRIS) for next generation small satellite imagers

Jeffery Puschell, Stephen Schiller

Proceedings Volume 12236, 122360D (2022) https://doi.org/10.1117/12.2633494

KEYWORDS: Calibration, Imaging systems, IRIS Consortium, Sensors, Satellites, Lamps, Satellite imaging, Light emitting diodes, Earth observing sensors, Black bodies, Ground-based vicarious calibration of satellites

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Proceedings Article | 12 April 2021 Presentation + Paper

FLARE network performance: automated on-demand calibration for space, airborne and UAV assets

Jeff Holt, Chris Durell, Brandon Russell, David Conran, Will Arnold, Stephen Schiller

Proceedings Volume 11748, 117480K (2021) https://doi.org/10.1117/12.2587963

KEYWORDS: Calibration, Satellites, Network architectures, Mirrors, Landsat, Earth observing sensors

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Proceedings Article | 17 September 2020 Presentation + Paper

Initial results of the FLARE vicarious calibration network

Brandon Russell, Daniel Scharpf, Jeff Holt, Will Arnold, Chris Durell, Joe Jablonski, David Conran, Stephen Schiller, Larry Leigh, David Aaron, Pedro Valle de Carvalho e Oliveira

Proceedings Volume 11501, 115010F (2020) https://doi.org/10.1117/12.2566759

KEYWORDS: Calibration, Data modeling, Mirrors, Satellites, Earth observing sensors, Landsat

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Proceedings Article | 19 September 2016 Paper

Coastal water camera system

Jeffery Puschell, Stephen Schiller

Proceedings Volume 9977, 99770B (2016) https://doi.org/10.1117/12.2242300

KEYWORDS: Signal to noise ratio, Imaging systems, Diffusers, Cameras, Spatial resolution, Calibration, Sensors, Staring arrays, Camera shutters, Actuators

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Proceedings Article | 12 October 2011 Paper

Space-based hyperspectral imaging spectroradiometer for coastal studies

Jeffery Puschell, John Silny, Lacy Cook, Shaun Champion, Stephen Schiller, David La Komski, Jamie Nastal, Neil Malone, Curtiss Davis

Proceedings Volume 8176, 81761R (2011) https://doi.org/10.1117/12.898472

KEYWORDS: Imaging systems, Calibration, Signal to noise ratio, Spatial resolution, Hyperspectral imaging, Spectrometers, Mirrors, Sensors, Ocean optics, Prisms

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Proceedings Article | 26 August 2010 Paper

The Specular Array Radiometric Calibration (SPARC) method: a new approach for absolute vicarious calibration in the solar reflective spectrum

Stephen Schiller, John Silny

Proceedings Volume 7813, 78130E (2010) https://doi.org/10.1117/12.864071

KEYWORDS: Sensors, Calibration, Mirrors, Point spread functions, Earth observing sensors, High resolution satellite images, Reflectivity, Image sensors, Transmittance, Sun

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Physics-based exploitation of image data from Earth observing sensors requires knowledge of the accuracy, stability and repeatability of a sensor's radiometric response within its in-flight environment. Vicarious radiometric calibration techniques, using terrestrial targets, provide an effective approach to obtaining this knowledge by measuring system performance under actual operational conditions. This paper introduces a new capability for performing the vicarious radiometric calibration of high spatial resolution sensors. The SPecular Array Radiometric Calibration (SPARC) method employs convex mirrors to create two arrays of calibration targets for deriving absolute calibration coefficients of Earth remote sensing systems in the solar reflective spectrum. The first is an array of single mirrors used to oversample the sensor's point spread function (PSF) providing necessary spatial quality information needed to perform the radiometric calibration of a sensor when viewing small targets. The second is a set of panels consisting of multiple mirrors designed to stimulate detector response with known at-sensor irradiance traceable to the exo-atmospheric solar spectral constant. The outcome is improved radiometric performance knowledge compared to other in-flight vicarious techniques through reduced uncertainties in target reflectance, atmospheric effects, and temporal variability. The only ground truth needed is the measurement of atmospheric transmittance. In addition, the simplification of calibration targets and ground truth collection in the SPARC method makes the deployment more cost effective and portable, thus creating the opportunity to imbed spectral, spatial and radiometric targets at a study site providing references that improve a sensor's interactivity as a phenomenological tool. A demonstration of the SPARC method is presented based on data collected with the IKONOS satellite operated by GeoEye. A SPARC measurement of absolute calibration coefficients for the IKONOS multispectral bands is compared to coefficients derived from the established reflectance-based vicarious calibration method.

Proceedings Article | 10 November 2003 Paper

Technique for estimating uncertainties in top-of-atmosphere radiances derived by vicarious calibration

Stephen Schiller

Proceedings Volume 5151, (2003) https://doi.org/10.1117/12.506712

KEYWORDS: Calibration, Atmospheric modeling, Error analysis, Reflectivity, Sensors, Transmittance, Radiometry, Aerosols, Earth observing sensors, High resolution satellite images

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Showing 5 of 9 publications

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