Method and system for detecting targets known up to a...

Radiant energy – Photocells; circuits and apparatus – Optical or pre-photocell system

Reexamination Certificate

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C250S208100

Reexamination Certificate

active

06958466

ABSTRACT:
A method for detecting targets comprises: a) receiving spectral data; b) using a normal compositional model for estimating background parameters from the spectral data and target components; c) estimating abundance values of classes of the normal compositional model from the background parameters and the spectral data; d) estimating target class covariance values from the spectral data, the background parameters, and the target components; e) estimating target-plus-background abundance values from the target class covariance values, the background parameters, the spectral data, and the target components; f) employing a normal compositional model for determining a likelihood ratio detection statistic from the target class covariance values, target-plus-background abundance values, spectral data, target components, background parameters, and background abundance values; and g) generating a determination output signal that represents whether an observation includes a target from the likelihood ratio detection statistic.

REFERENCES:
patent: 6079665 (2000-06-01), Nella et al.
Stein, David W. J.; Modeling Variability In Hyperspectral Imagery Using A Stochastic Compositional Approach; Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS '01, Sydney Australia, Jul. 2001.
Stein, Dr. David W.; Hyperspectral Detection Processing Development; ILIR '01 SSC San Diego In-House Laboratory Independent Research 2001 Annual Report; pp. 63-66; SSC-San Diego Technical Document, May 2002, USA.
Stein, David W. J.; Stochastic Compositional Models Applied To Subpixel Analysis Of Hyperspectral Imagery; Proceedings of SPIE vol. 4480, Imaging Spectrometry VII, M. Descour and S. Shen eds.; San Diego CA 2001; USA.

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