Divided-aperture infra-red spectral imaging system for chemical detection
A divided-aperture infrared spectral imaging (DAISI) system that is structured to provide identification of target chemical content in a single imaging shot based on spectrally-multiplexed operation. The system is devoid of spectral scanning acquisition of infrared (IR) spectral signatures of target content with an IR detector and does not require content.
1. An infrared (IR) imaging system comprising:
a plurality of optical channels configured to receive IR radiation from an object, wherein each of the plurality of optical channels comprises at least one imaging lens configured to image the object on a Focal Plane Array (FPA) unit; and
a processor in communication with the FPA unit and configured to:
measure parallax between a plurality of images to estimate a distance between the object and the IR imaging system;
calculate a size of the object based on the distance between the object and the IR imaging system; and
estimate the volume of the object by creating a three-dimensional estimate of the size of the object.
2. The IR imaging system of claim 1 , wherein the distance between the object and the IR imaging system is calculated using a magnification equation.
3. The IR imaging system of claim 1 , wherein the plurality of optical channels are spatially and spectrally different.
4. The IR imaging system of claim 1 , wherein the processor is configured to further:
detect one or more target species present in the object based on multispectral optical data.
5. The IR imaging system of claim 1 , wherein the processor is configured to further:
determine a difference between multispectral optical data acquired by two of the plurality of optical channels, wherein the distance between the IR imaging system and the object is determined by the processor based further on the difference.
6. The IR imaging system of claim 5 , wherein the processor is configured to further:
calculate an estimate of parallax effects based at least in part on the difference between the multispectral optical data acquired by the two of the plurality of optical channels.
7. The IR imaging system of claim 6 , wherein the processor is configured to further:
compensate for parallax-induced imaging errors based at least in part on the estimate of parallax effects.
8. The IR imaging system of claim 5 , wherein the two of the plurality of optical channels are associated with the same spectral sensitivity to one or more target species.
9. The IR imaging system of claim 5 , wherein the two of the plurality of optical channels are arranged in a two-dimensional array.
10. The IR imaging system of claim 1 , wherein the FPA unit comprises a plurality of focal plane arrays.
11. A computer-implemented method comprising:
measuring parallax between a plurality of images to estimate distance between an object and an infrared (IR) imaging system, wherein the IR imaging system comprises, a plurality of optical channels configured to receive IR radiation from the object, wherein each of the plurality of optical channels comprises at least one imaging lens configured to image the object on a Focal Plane Array (FPA) unit;
determining a size of the object based on the distance between the object and the IR imaging system; and
estimating the volume of the object by creating a three-dimensional estimate of the size of the object.
12. The computer-implemented method of claim 11 , wherein the distance between the object and the IR imaging system is calculated using a magnification equation.
13. The computer-implemented method of claim 11 , wherein the plurality of optical channels are spatially and spectrally different.
14. The computer-implemented method of claim 11 further comprising:
detecting one or more target species present in the object based on multispectral optical data.
15. The computer-implemented method of claim 11 further comprising:
determining a difference between multispectral optical data acquired by two of the plurality of optical channels, wherein determining the distance between the IR imaging system and the object is based further on the difference.
16. The computer-implemented method of claim 15 further comprising:
calculating an estimate of parallax effects based at least in part on the difference between the multispectral optical data acquired by the two of the plurality of optical channels.
17. The computer-implemented method of claim 16 further comprising:
compensating for parallax-induced imaging errors based at least in part on the estimate of parallax effects.
18. The computer-implemented method of claim 15 , wherein the two of the plurality of optical channels are associated with the same spectral sensitivity to one or more target species.
19. The computer-implemented method of claim 15 , wherein the two of the plurality of optical channels are arranged in a two-dimensional array.
20. The computer-implemented method of claim 11 , wherein the FPA unit comprises a plurality of focal plane arrays.