Passive background correction method for spatially resolved detection

1. A method for improved background correction for spatially and spectrally resolved detection, comprising:

illuminating a target region with an excitation beam, wherein a divergence angle of the excitation beam is less than a field-of-view angle of a receiver optical system comprising a detector array;

collecting on a first set of pixels of the detector array a target region signal generated in part by light produced by an interaction of the excitation beam with a target, wherein the first set of pixels of the detector array is determined by the divergence angle of the excitation beam;

collecting at the same time on a second set of pixels of the detector array a background signal generated substantially by background light; and

correcting the target region signal using the background signal to obtain a background-corrected target signal,

wherein the first set and the second set comprise sections of a column of pixels of the detector array corresponding to a same wavelength.

2. The method of claim 1 , wherein the excitation beam is selected from the group consisting of a light beam, an electron beam, and an ion beam.

3. The method of claim 1 , wherein the excitation beam is selected from the group consisting of a pulsed excitation beam and a continuous-wave excitation beam.

4. The method of claim 1 , wherein the second set of pixels consists of a set of pixels illuminated by light from within a field of view of the receiver optical system but not illuminated by light produced by the interaction of the excitation beam.

5. The method of claim 1 , further comprising:

collecting at the same time on a third set of pixels of the detector array a dark-noise signal, wherein the third set of pixels consists of at least one section of pixels of the detector array not illuminated by light originating from within a field of view of the receiver optical system; and

correcting the background signal using the dark-noise signal to generate a dark-noise-corrected background signal.

6. The method of claim 1 , wherein the background-corrected target signal is selected from the group consisting of beam-induced fluorescence, beam-induced phosphorescence, and beam-induced luminescence.

7. The method of claim 1 , wherein the excitation beam is a laser.

8. The method of claim 7 , wherein the background-corrected target signal represents light selected from the group consisting of laser-induced fluorescence, absorption, inelastically backscattered light, Raman scattering light, elastically scattered light, Rayleigh scattering light, and Mie scattering light.

9. The method of claim 7 , wherein the receiver optical system is a lidar optical system.

10. The method of claim 1 , wherein the target comprises at least one of a solid surface and an aerosol cloud.

11. The method of claim 1 , wherein the target comprises at least one of a solid, a liquid, and a gas.

12. The method of claim 1 , wherein the detector array is selected from the group consisting of a CCD array, an intensified CCD array, an electron multiplying CCD array, an avalanche photodiode array, a silicon photodiode array, a CMOS array, and a multi-anode photomultiplier tube.

13. A method for improved background correction for spatially and spectrally resolved detection, comprising:

illuminating a target region with an excitation beam, wherein a divergence angle of the excitation beam is less than a field-of-view angle of a receiver optical system comprising a detector array;

collecting on a first set of pixels of the detector array a target region signal generated in part by light produced by an interaction of the excitation beam with a target, wherein the first set of pixels of the detector array is determined by the divergence angle of the excitation beam;

collecting at the same time on a second set of pixels of the detector array a background signal generated substantially by background light;

identifying pixel element rows of the first set of pixels and of the second set of pixels, the steps of identifying comprising:

summing row-wise outputs of row pixels spanning a wavelength range with the excitation beam being off during the summing to determine a background field-angle intensity average for each pixel row;

summing row-wise the outputs of row pixels spanning the wavelength range with the excitation beam being on during the summing to determine an excitation field-angle intensity average for each pixel row;

scaling the background field-angle intensity average to obtain an approximate best match with the excitation field-angle intensity average for a set of pixel rows spanning a field-angle range to obtain a scaled background field-angle intensity average;

subtracting the scaled background field-angle intensity average from the excitation field-angle intensity average to obtain a background-corrected field-angle intensity average;

examining the background-corrected field-angle intensity average to identify target region pixel rows and background pixel rows; and

assigning pixels from target region pixel rows to the first set of pixels and pixels from the background pixel rows to the second set of pixels; and

correcting the target region signal using the background signal to obtain a background-corrected target signal,

wherein the first set and the second set comprise sections of a column of pixels of the detector array corresponding to a same wavelength.

14. The method of claim 13 , further comprising determining a background scaling factor by

summing column-wise intensity signals from the background pixel rows to obtain a background region intensity;

summing column-wise intensity signals from the target region pixel rows to obtain a target-region intensity; and

dividing the target-region intensity by the background-region intensity to obtain the background scaling factor, wherein during the determining of the background scaling factor the excitation beam has insufficient power to produce a target signal or is off.

15. The method of claim 1 further comprising determining a background scaling factor by

summing column-wise intensity signals from the background pixel rows to obtain a background region intensity;

summing column-wise intensity signals from the target region pixel ws to obtain a target-region intensity; and

dividing the target-region intensity by the background-region intensity to obtain the background scaling factor, wherein during the determining of the background scaling factor the target is substantially absent from the target region.

16. The method of claim 1 , wherein the step of correcting the target region signal using the background signal comprises:

summing column-wise outputs of target region pixel rows to obtain a summed target region intensity;

summing column-wise outputs of background pixel rows to obtain a summed background region intensity,

multiplying the summed background region intensity by a background scaling factor to obtain a scaled background intensity; and

subtracting the scaled background intensity from the summed target region intensity to obtain the background-corrected target signal.