Dr. David M. Strong Profile

Dr. David M. Strong

Director

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Area of Expertise:

Imaging , High Performance Computing , Blind Deconvolution , Avionics

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Publications (6)

Proceedings Article | 13 June 2023 Presentation + Paper

Multi-geosynchronous satellite classification with spectroscopic signatures

Phan Dao, Xin Yee, David Strong, Benjamin Roth, Francis Chun

Proceedings Volume 12519, 1251907 (2023) https://doi.org/10.1117/12.2665121

KEYWORDS: Satellites, Spectroscopy, Principal component analysis, Telescopes, Spectral resolution, Sensors, Reflection, Diffraction gratings, Matrices

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The United States Air Force Academy (USAFA) operates the Falcon Telescope Network (FTN) to support its research program in the utility of satellite optical signatures in Space Situational Awareness. In addition to collecting photometric, spectroscopic, and polarimetric data, the FTN sensors which are equipped with diffraction grating elements also operate as slitless spectrographs. FTN spectroscopic data has been used to demonstrate that it can effectively distinguish different stable geosynchronous satellites (GEO). Because the attitude of the GEO's unarticulated parts (e.g. bus) and the axis of rotation of the articulated parts (e.g., solar panel) are predominantly fixed, the light curves and the time-resolved spectra are expected to be nearly repeatable from night to night. Furthermore, the spectra of GEOs may be effective identifying signatures. To demonstrate the ability to distinguish GEOs using spectroscopic data, we reduce the spectra to vectors of features with smaller dimensionality. That can be accomplished by applying a linear dimensionality-reduction technique, e.g., Principal Component Analysis (PCA) or using a physics-based transformation that consists of smoothing and under-sampling the spectra. The PCA features consists of up to the five most prominent principal components. The physics-based feature vector is the smoothed GEO spectral reflectance sampled at 37 fixed and equally spaced wavelengths. The first approach also generates a visualizable 2-dimensional representation using the first two PCA components, while the second approach preserves as much information as allowed by the effective spectrograph's resolution. Using satellite names or numbers as labels of the classes, we trained a number of classifiers with the GEO's feature vectors. Our analyses showed that multi-GEO classification can achieve accuracy as high as 98%. We also demonstrated that instead of collecting many spectra in the range of solar phase angles as training data, we can synthesize training spectra with a limited number of reference spectra and still achieve satisfactory classification accuracies.

Proceedings Article | 13 June 2023 Presentation + Paper

Preliminary study of the characterization of a geosynchronous satellite with glint season observations from a small aperture telescope and synthetic imagery

Héctor Erives-Contreras, Francis Chun, Miguel Velez-Reyes, David Strong, Arizbe Najera

Proceedings Volume 12519, 1251906 (2023) https://doi.org/10.1117/12.2665088

KEYWORDS: Satellites, Telescopes, Satellite imaging, Device simulation, Solar cells, Calibration, Reflection, Atmospheric modeling, Earth observing sensors, Air force

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Proceedings Article | 31 May 2022 Presentation + Paper

Spectral analysis of unresolved satellite imagery

Markus Parrish, Joshua Key, Francis Chun, David Strong, Charles Wetterer, Philip Castro

Proceedings Volume 12094, 120940E (2022) https://doi.org/10.1117/12.2620721

KEYWORDS: Satellites, Calibration, Diffraction gratings, Telescopes, Stars, Earth observing sensors, Satellite imaging, Visible radiation, Absorption, Spectral calibration

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Proceedings Article | 19 May 2015 Paper

Results from an experiment that collected visible-light polarization data using unresolved imagery for classification of geosynchronous satellites

Andy Speicher, Mohammad Matin, Roger Tippets, Francis Chun, David Strong

Proceedings Volume 9460, 946006 (2015) https://doi.org/10.1117/12.2177528

KEYWORDS: Satellites, Polarization, Cameras, Calibration, Dielectric polarization, Polarimetry, Satellite imaging, Telescopes, Space telescopes, Space operations

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SPIE Journal Paper | 1 December 2007

Maximum a priori estimation of focus aberration in imaging systems

David Strong, Stephen Cain

OE, Vol. 46, Issue 12, 127006, (December 2007) https://doi.org/10.1117/12.10.1117/1.2823493

KEYWORDS: Imaging systems, Cameras, Error analysis, CCD cameras, Optical engineering, Detection and tracking algorithms, Charge-coupled devices, Algorithm development, Calibration, Optical transfer functions

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Proceedings Article | 31 January 2001 Paper

Implementation and test of wave optics code using parallel FFT algorithms

David Strong, Eric Magee, Gary Lamont

Proceedings Volume 4167, (2001) https://doi.org/10.1117/12.413839

KEYWORDS: MATLAB, Surface plasmons, Adaptive optics, Algorithm development, Wave propagation, Radio propagation, Fourier transforms, Computing systems, Sun, Computer simulations

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Showing 5 of 6 publications

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