Spectral analysis of unresolved satellite imagery

Markus D. Parrish; Joshua A. Key; Francis K. Chun; David M. Strong; Charles J. Wetterer; Philip Castro

doi:10.1117/12.2620721

31 May 2022 Spectral analysis of unresolved satellite imagery

Markus D. Parrish, Joshua A. Key, Francis K. Chun, David M. Strong, Charles J. Wetterer, Philip Castro

Proceedings Volume 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII; 120940E (2022) https://doi.org/10.1117/12.2620721
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Tracking and classifying objects in the space domain is important for the military due to increased concern of congestion from commercial and national interests. This research use a 100-lines-per-millimeter diffraction grating to perform slitless spectroscopy across a network of telescopes to collect satellite spectral signatures. The pixel-to-wavelength relationship for the diffraction gratings are characterized using calibration stars with known spectral features. Once calibrated, the United States Air Force Academy (USAFA) telescopes are used to observe manmade satellites with the goal to characterize them based on their reflected spectra.

Conference Presentation

Citation Download Citation

Markus D. Parrish, Joshua A. Key, Francis K. Chun, David M. Strong, Charles J. Wetterer, and Philip Castro "Spectral analysis of unresolved satellite imagery", Proc. SPIE 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 120940E (31 May 2022); https://doi.org/10.1117/12.2620721

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