Systems, methods, and computer program products for detection limit determinations for hyperspectral imaging

1. An imaging system comprising:

a first infrared (IR) imaging device configured to generate first IR image data of a field of view of the first IR imaging device; and

a computing device operably connected with the first IR imaging device, wherein the computing device is configured to:

receive probe temperature data from a temperature probe communicably coupled with the computing device, wherein the probe temperature data is indicative of an external environment of the imaging system;

receive the first IR image data from the first IR imaging device;

determine background temperature data based upon the first IR image data, wherein the background temperature data comprises a first temperature for each pixel from amongst a plurality of pixels associated with the first IR image data;

determine gas temperature data based upon the probe temperature data, wherein the gas temperature data comprises a second temperature for each pixel from amongst the plurality of pixels associated with the first IR image data;

determine a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data; and

determine a detection limit for each pixel as a function of the thermal contrast for each pixel and based on a radiative transfer model.

2. The imaging system according to claim 1 , wherein the temperature probe is positioned within the field of view of the first IR imaging device.

3. The imaging system according to claim 1 , wherein the imaging system comprises the temperature probe and the temperature probe is attached to a housing supporting the first IR imaging device.

4. The imaging system according to claim 1 , further comprising a second IR imaging device configured to generate second IR image data of a field of view of the second IR imaging device and operably connected with the computing device, wherein the computing device is further configured to determine the background temperature data based upon the second IR image data.

5. The imaging system according to claim 1 , wherein the computing device is further configured to:

compare the detection limit for each pixel with a limit threshold;

in an instance in which the detection limit satisfies the limit threshold, assign a first visual identifier to the respective pixel; and

in an instance in which the detection limit fails to satisfy the limit threshold, assign a second visual identifier to the respective pixel.

6. The imaging system according to claim 5 , wherein the computing device is further configured to render a detection limit map comprising a visual representation for each pixel based upon the visual identifier assigned to the respective pixel.

7. The imaging system according to claim 6 , wherein the computing device is further configured to modify the detection limit map in response to iterative determinations of the thermal contrast and associated detection limit.

8. A computer-implemented method comprising:

receiving probe temperature data from a temperature probe, wherein the probe temperature data is indicative of an external environment of an imaging system;

receiving first infrared (IR) image data from a first IR imaging device of a field of view of the first IR imaging device;

determining background temperature data based upon the first IR image data, wherein the background temperature data comprises a first temperature for each pixel from amongst a plurality of pixels associated with the first IR image data;

determining gas temperature data based upon the probe temperature data, wherein the gas temperature data comprises a second temperature for each pixel from amongst the plurality of pixels associated with the first IR image data;

determining a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data; and

determining a detection limit for each pixel as a function of the thermal contrast for each pixel and based on a radiative transfer model.

9. The computer-implemented method according to claim 8 , wherein the temperature probe is positioned within the field of view of the first IR imaging device.

10. The computer-implemented method according to claim 8 , further comprising:

receiving second IR image data from a second IR imaging device of a field of view of the second IR imaging device; and

determining the background temperature data based upon the second IR image data.

11. The computer-implemented method according to claim 8 , further comprising:

comparing the detection limit for each pixel with a limit threshold;

in an instance in which the detection limit satisfies the limit threshold, assigning a first visual identifier to the respective pixel; and

in an instance in which the detection limit fails to satisfy the limit threshold, assigning a second visual identifier to the respective pixel.

12. The computer-implemented method according to claim 11 , further comprising rendering a detection limit map comprising a visual representation for each pixel based upon the visual identifier assigned to the respective pixel.

13. The computer-implemented method according to claim 12 , further comprising modifying the detection limit map in response to iterative determinations of the thermal contrast and associated detection limit.

14. The computer-implemented method according to claim 8 , wherein the temperature probe is attached to a housing supporting the first IR imaging device.

15. A computer program product comprising at least one non-transitory computer-readable storage medium having computer program code thereon that, in execution with at least one processor, configures the computer program product for:

receiving probe temperature data from a temperature probe, wherein the probe temperature data is indicative of an external environment of an imaging system;

receiving first infrared (IR) image data from a first IR imaging device of a field of view of the first IR imaging device;

determining background temperature data based upon the first IR image data, wherein the background temperature data comprises a first temperature for each pixel from amongst a plurality of pixels associated with the first IR image data;

determining gas temperature data based upon the probe temperature data, wherein the gas temperature data comprises a second temperature for each pixel from amongst the plurality of pixels associated with the first IR image data;

determining a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data; and

determining a detection limit for each pixel as a function of the thermal contrast for each pixel and based on a radiative transfer model.

16. The computer program product according to claim 15 , further configured for:

receiving second IR image data from a second IR imaging device of a field of view of the second IR imaging device; and

determining the background temperature data based upon the second IR image data.

17. The computer program product according to claim 15 , further configured for:

comparing the detection limit for each pixel with a limit threshold;

in an instance in which the detection limit satisfies the limit threshold, assigning a first visual identifier to the respective pixel; and

in an instance in which the detection limit fails to satisfy the limit threshold, assigning a second visual identifier to the respective pixel.

18. The computer program product according to claim 17 , further configure for rendering a detection limit map comprising a visual representation for each pixel based upon the visual identifier assigned to the respective pixel.

19. The computer program product according to claim 18 , further configured for modifying the detection limit map in response to iterative determinations of the thermal contrast and associated detection limit.

20. The computer program product according to claim 15 , wherein the temperature probe is attached to a housing supporting the first IR imaging device.