Quantitative assessment of hyperspectral sensor detection performance

Anthony M. Sommese; Bruce V. Shetler; Frank P. Billingsley

doi:10.1117/12.283836

31 October 1997 Quantitative assessment of hyperspectral sensor detection performance

Anthony M. Sommese, Bruce V. Shetler, Frank P. Billingsley

Proceedings Volume 3118, Imaging Spectrometry III; (1997) https://doi.org/10.1117/12.283836
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

The ability to differentiate man-made materials from natural materials depends upon exploiting recognizable differences in their respective spectral response. Of particular interest is the question of whether a given materials signature derived from a laboratory or field measurement can be used as a training vector for discrimination or identification in a given setting. Through the application of a matched filter, we can quantify the performance of training vectors which have been transferred in this way as well as identify which spectral regions are most diagnostic in a given situation.

Citation Download Citation

Anthony M. Sommese, Bruce V. Shetler, and Frank P. Billingsley "Quantitative assessment of hyperspectral sensor detection performance", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.283836

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