A system simulates hyperspectral imaging data or multispectral imaging data for a simulated sensor. Blackbody radiance of real-world thermal imagery data is computed using a Planck function, which generates a simulated spectral hypercube. Spectral emissivity data for background materials are multiplied by a per-pixel weighting function, which generates weighted spectral emissivity data. The simulated spectral hypercube is multiplied by the weighted spectral emissivity data, which generates background data in the simulated spectral hypercube. Simulated targets are inserted the background data using the Planck function. The simulated spectral hypercube is modified, and then it is used to estimate a mission measure of effectiveness of the simulated sensor.

Apparatus and methods are disclosed utilizing selected infrared waveband observations to determine selected profiles of interest. A correlative system is constructed and installed at a processor. Thermal and refractivity profiles and structure in a waveband of interest are extracted from observed infrared spectrum single waveband observations received for processing at the processor by the correlative system. The output provides the selected profiles of interest in the waveband of interest. The apparatus includes an infrared receiver and means for measuring angular displacement of received emissions relative to a horizon. The processor converts received emission into equivalent Planck blackbody temperatures across the observations and correlates structure and vertical distribution of the temperatures to provide thermodynamic and refractivity profiles of interest.

A radiation temperature measuring device includes: an infrared sensor that detects a wavelength including an absorption band by atmosphere; an absorption rate calculation unit that calculates an absorption rate by the atmosphere when measuring a surface temperature of an object from output of the infrared sensor; an output storage unit that stores conversion information for converting the output of the infrared sensor into the surface temperature of the object; a surface temperature calculation correction unit that calculates the surface temperature of the object from the output of the infrared sensor, the absorption rate calculated by the absorption rate calculation unit, and the conversion information; and an absorption rate storage unit that stores in advance the absorption rate by the atmosphere when the conversion information is set, in which the calculated surface temperature of the object is corrected with the absorption rate stored in the absorption rate storage unit.

Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.

A method for measuring furnace temperatures. The method includes obtaining radiance measurements from a plurality of regions of interest (ROIs) using a plurality of thermal imaging cameras, and measuring a surface temperature using a radiance measurement obtained from an ROI selected from the plurality of ROIs. Measuring the surface temperature includes determining an effective background radiance affecting the selected ROI using radiance measurements obtained from ROIs different from the selected ROI, obtaining a compensated radiance by removing the effective background radiance from the radiance measurement obtained from the selected ROI, and converting the compensated radiance to the measured surface temperature.

Techniques for facilitating uncertainty gauging for imaging systems and methods are provided. In one example, a method includes determining temperature data associated with infrared image data of a scene. The method further includes receiving at least one parameter associated with the infrared image data. The method further includes determining an uncertainty factor associated with the temperature data based on the at least one parameter. Related devices and systems are also provided.

Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor and determine environmental conditions, modify data received from infrared imaging systems and other systems, modify flight paths and other commands, and/or create a representation of the environment.

Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.

A system simulates hyperspectral imaging data or multispectral imaging data for a simulated sensor. Blackbody radiance of real-world thermal imagery data is computed using a Planck function, which generates a simulated spectral hypercube. Spectral emissivity data for background materials are multiplied by a per-pixel weighting function, which generates weighted spectral emissivity data. The simulated spectral hypercube is multiplied by the weighted spectral emissivity data, which generates background data in the simulated spectral hypercube. Simulated targets are inserted the background data using the Planck function. The simulated spectral hypercube is modified, and then it is used to estimate a mission measure of effectiveness of the simulated sensor.

Flight based infrared imaging systems and related techniques, and in particular UAS based thermal imaging systems, are provided to improve the monitoring capabilities of such systems over conventional infrared monitoring systems. An infrared imaging system is configured to compensate for various environmental effects (e.g., position and/or strength of the sun, atmospheric effects) to provide high resolution and accuracy radiometric measurements of targets imaged by the infrared imaging system. An infrared imaging system is alternatively configured to monitor regulatory limitations on operation of the infrared imaging system and adjust and/or disable operation of the infrared imaging systems accordingly.