Satellite surface material composition from synthetic spectra

Eugene L. Caudill; Michael C. Roggemann; Byron M. Welch; Steven K. Rogers

doi:10.1117/12.210602

2 June 1995 Satellite surface material composition from synthetic spectra

Eugene L. Caudill, Michael C. Roggemann, Byron M. Welch, Steven K. Rogers

Proceedings Volume 2469, Targets and Backgrounds: Characterization and Representation; (1995) https://doi.org/10.1117/12.210602
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Optical techniques for space object identification have been a topic of research for several decades. Imaging techniques have been widely examined for this problem. However, it has been shown that high spatial resolution cannot always be obtained due to atmospheric turbulence. Spectral measurements are of interest to determine the material content when images cannot be obtained. In this paper spectra obtained from a Fourier transform spectrometer are used to identify materials using pattern recognition-based techniques. The signal-to-noise ratio of the Sagnac-type interferometer is derived, and the errors in material identification and abundance estimation that arise from using the measured spectra to estimate these quantities are studied. Fisher discriminants and multi-layer perceptrons were used to identify materials, and a constrained least squares technique was used to estimate abundances. Results for material identification and abundance estimation are presented as a function of signal-to-noise ratio.

Citation Download Citation

Eugene L. Caudill, Michael C. Roggemann, Byron M. Welch, and Steven K. Rogers "Satellite surface material composition from synthetic spectra", Proc. SPIE 2469, Targets and Backgrounds: Characterization and Representation, (2 June 1995); https://doi.org/10.1117/12.210602

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