초록 ▼

A detection system which provides for continuous background estimation removal from a sequence of spectra. A panoramic field of regard may be partitioned into a large number of fields of view (FOVs). An FOV may have a chemical vapor cloud. The small FOV may maximize detection of the cloud. Such dete

A detection system which provides for continuous background estimation removal from a sequence of spectra. A panoramic field of regard may be partitioned into a large number of fields of view (FOVs). An FOV may have a chemical vapor cloud. The small FOV may maximize detection of the cloud. Such detection may require removing the spectral characteristics other than that of the target cloud. This may amount to removal of background spectra with an estimated background developed from one or more FOVs which may or may not be similar to the background of the FOV with the target cloud. A number of estimated background spectra of the other FOVs may be used individually to greatly increase the detection probability of the target chemical.

대표청구항 ▼

1. A method for spectral signal detection comprising: scanning fields of view (FOV's) of a panoramic field of regard with a scanner;capturing radiance in the FOV's with a spectrometer;selecting a FOV having the spectrum of interest with a processor;recalling a FOV's previous to the FOV having the sp

1. A method for spectral signal detection comprising: scanning fields of view (FOV's) of a panoramic field of regard with a scanner;capturing radiance in the FOV's with a spectrometer;selecting a FOV having the spectrum of interest with a processor;recalling a FOV's previous to the FOV having the spectrum of interest with the processor;obtaining n estimated background spectra from the n FOV's, respectively, with the processor; anddetermining a difference spectrum from each of the n estimated background spectra and the FOV having the spectrum of interest with the processor. 2. The method of claim 1, wherein: SpecEstBgnd FOV(si)=C1*SpecFOV(i)+C2+C3*X;SpecEstBgnd is an estimated background spectrum;FOV(si) is the FOV having the spectrum of interest;SpecFOV(i) is a background spectrum of an ith FOV;X is a linear line for effectively adjusting a slope of the background spectrum of the ith FOV;the ith FOV is one of the n FOV's;C1 is for adjusting differences in overall amplitude of background features;C2 is for removing offset and/or drift; andC3 is for removing slope differences. 3. The method of claim 2, wherein: SpecDiff=SpecFOV(si)−(C1*SpecFOV(i)+C2+C3*X);SpecDiff is a difference spectrum; andSpecFOV(si) is the FOV having the spectrum of interest. 4. The method of claim 1, further comprising subtracting each of the n estimated background spectra of the n FOV's, from the spectrum of interest of the FOV having the spectrum of interest, with the processor. 5. The method of claim 4, further comprising subtracting the spectrum of interest of the FOV having the spectrum of interest, from each of the n estimated background spectra of the n FOV's, with the processor. 6. The method of claim 5, wherein: the subtracting the spectrum of interest of the FOV having the spectrum of interest, from each of the n estimated background spectra of the n FOV's, and the subtracting each of the n estimated background spectra of the n FOV's from the spectrum of interest of the FOV having the spectrum of interest, result in 2n difference spectra;one or more of the 2n difference spectra are subjected to a boosting factor by the processor; andthe boosting factor is dependent on an amount of background and/or atmospheric clutter in the spectrum of interest and/or the spectra of one or more of the n FOV's. 7. The method of claim 6, wherein the boosting factor represents confidence in one or more peaks of a boosted difference spectrum. 8. The method of claim 6, wherein: if the spectrum of interest of the FOV having the spectrum of interest and/or the spectra of one or more of the n FOV's are relatively free of clutter, then the difference spectra may be amplified by the processor accordingly; and/orif the spectrum of interest and/or the spectra of one or more of the n FOV's have strong clutter, then the difference spectra may be amplified less or attenuated by the processor. 9. The method of claim 7, each boosted difference spectrum is classified by the processor as having or not having a target chemical. 10. The method of claim 2, wherein constraints are applied to values of C1, C2 and/or C3 by the processor to avoid over-correction. 11. The method of claim 2, wherein the constants C1, C2 and/or C3 are automatically computed by the processor to maximally match background spectrum of the FOV having the spectrum of interest. 12. The method of claim 4, wherein: if a total energy of a difference spectrum exceeds a set threshold, then an estimated background spectrum used to obtain the difference spectrum is excluded from use for removal of a background spectrum from the FOV having the spectrum of interest; andif the difference spectrum is excluded, then the remaining n−1 estimated background spectra may be used by the processor for removal of the background spectrum from the FOV having the spectrum of interest. 13. A system for spectral signal detection comprising: a scanner;a spectrometer connected to the scanner; anda processor connected to the spectrometer; andwherein:the scanner is for directing fields of view (FOV's) of radiance;the spectrometer is for detecting and converting radiance in the FOV's into electrical signals; andthe processor is for: processing the FOV's of spectra from the electrical signals;selecting an FOV having a spectrum of interest;recalling n FOV's previous to the FOV having the spectrum of interest;calculating n estimated background spectra from the n FOV's, respectively; and/ordetermining a difference spectrum from each of the n estimated background spectra and the FOV having the spectrum of interest. 14. The system of claim 13, wherein: SpecEstBgnd FOV(si)=C1*SpecFOV(i)+C3*X;SpecEstBgnd is an estimated background spectrum;FOV(si) is the FOV having the spectrum of interest;SpecFOV(i) is a background spectrum of an ith FOV;X is a linear line for effectively adjusting a slope of the background spectrum of the ith FOV;the ith FOV is one of the n FOV's;SpecDiff=SpecFOV(si)−(C1*SpecFOV(i)+C2+C3*X);SpecDiff is a difference spectrum;SpecFOV(si) is the FOV having the spectrum of interest;C1 is for adjusting differences in overall amplitude of background features;C2 is for removing offset and/or drift; andC3 is for removing slope differences. 15. The system of claim 13, wherein the processor is further for: subtracting each of the n estimated background spectra of the n FOV's, from the spectrum of interest of the FOV having the spectrum of interest; andsubtracting the spectrum of interest of the FOV having the spectrum of interest, from each of the n estimated background spectra of the n FOV's. 16. The system of claim 15, wherein: the subtracting the spectrum of interest of the FOV having the spectrum of interest, from each of the n estimated background spectra of the n FOV's, and the subtracting each of the n estimated background spectra of the n FOV's from the spectrum of interest of the FOV having the spectrum of interest, result in 2n difference spectra;one or more of the 2n difference spectra are subjected to a boosting factor; andthe boosting factor is dependent on an amount of background and/or atmospheric clutter in the spectrum of interest and/or the spectra of one or more of the n FOV's. 17. The system of claim 14, wherein: constraints are applied to values of C1, C2 and/or C3 to avoid over-correction; andwherein the constants C1, C2 and/or C3 are automatically computed by a processor to maximally match background spectrum of the FOV having the spectrum of interest. 18. The system of claim 15, wherein: if a total energy of a difference spectrum exceeds a set threshold, then an estimated background spectrum used to obtain the difference spectrum is excluded from use for removal of a background spectrum from the FOV having the spectrum of interest; andif the difference spectrum is excluded, then another one of the remaining n−1 estimated background spectra may be used for removal of the background spectrum from the FOV having the spectrum of interest. 19. A method for removing background spectra from a FOV having a spectrum of interest, comprising: scanning adjacent FOV's from a field of regard with a scanner;capturing radiance in the adjacent FOV's from the field of regard with a spectrometer;selecting a FOV having the spectrum of interest with a processor;recalling n FOV's previous to the FOV having the spectrum of interest with the processor;calculating n estimated background spectra for the FOV having the spectrum of interest, based on the n FOV's, respectively, with the processor; anddetermining n difference spectra from the n estimated background spectra and the FOV having the spectrum of interest with the processor. 20. The method of claim 19, further comprising selecting the best difference spectrum of the n difference spectra with the processor.