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.

Apparatus and methods are disclosed for highly accurate remote measurement of sea surface skin temperature. Thermal band 8 to 14 micron images of the surface of the ocean taken by a downward looking infrared camera are processed to determine the optimum segments of the image to utilize. The influence of contaminating reflection of the downwelling flux from the sky and other error sources are removed and from the data and/or otherwise corrected for making sea surface temperature accuracy within several tenths of a degree possible.

A multispectral or thermal imager comprising a lens assembly, an array of IC, chips that is arranged in a field of view of the lens assembly, each IC chip comprising an array of thermopile devices, and a filter assembly comprising one or more wavelength filters. The filter assembly comprises a respective wavelength filter for at least one of the three or more rows of IC chips. At least one wavelength filter is one of the three or more rows of IC chips. At least one wavelength filter is transparent in a portion of a wavelength range that passes through the lens assembly. The filter assembly is configured such that radiation of the same wavelength range passes to the rows of IC chips in the pair of non-adjacent rows, and such that the wavelength range that passes to the rows in the pair of non-adjacent rows is different from a wavelength range that passes to the one or more rows other than the pair of non-adjacent rows.

A technology is described for spatially estimating thermal emissivity. A method can include obtaining spectral emissivity data and satellite imaging data for a geographic area. A weighted emissivity model of emissivity values may be generated for surfaces included in the geographic area from the spectral emissivity data and the satellite imaging data, wherein the spectral emissivity data is mapped to the satellite imaging data to generate the weighted emissivity model. Thermal imaging data for the geographic area may be received from an airborne thermal imaging sensor and a thermal emissivity map can be generated for the geographic area using the thermal imaging data and the weighted emissivity model. The emissivity values from the weighted emissivity model can be used to estimate thermal emissivity values.

A technology is described for spatially estimating thermal emissivity. A method can include obtaining spectral emissivity data and satellite imaging data for a geographic area. A weighted emissivity model of emissivity values may be generated for surfaces included in the geographic area from the spectral emissivity data and the satellite imaging data, wherein the spectral emissivity data is mapped to the satellite imaging data to generate the weighted emissivity model. Thermal imaging data for the geographic area may be received from an airborne thermal imaging sensor and a thermal emissivity map can be generated for the geographic area using the thermal imaging data and the weighted emissivity model. The emissivity values from the weighted emissivity model can be used to estimate thermal emissivity values.

Satellite onboard imaging systems having a look-down view and a toroidal view of the Earth are disclosed. In one embodiment, a satellite onboard imaging systems include an infrared sensing system and a controller. The infrared sensing system includes a first imager configured to have a first field of view that observes a look-down view of the Earth from a satellite and a second imager configured to have a second field of view that observes a toroidal view of the Earth centered at the satellite. The controller is coupled to the first imager and the second imager and operable to process image data from the first imager and the second imager. The controller is further operable to output indications of thermal energy of an identical, or different objects based on the first thermal image signal, the second thermal image signal, or both.

The present invention relates to a computationally compact and efficient method for determining physical characteristics of remote targets of interest from hyperspectral image scenes. Ground-based as well as space-borne hyperspectral imaging in the 7-14 microns region, also known as Thermal InfraRed (TIR) Hyperspectral imaging, is assuming increasing importance in military and civilian remote sensing. However, converting large hyperspectral imaging datasets into useable data products is complex and often requires long processing times. In-situ, field and on-board TIR hyperspectral imaging data processing is desirable for immediate detection, but currently very limited. Additionally, retrieving physical information of a target, seen against a background of clouds, is currently not possible. The present method creates a way to significantly improve the efficiency of analyzing hyperspectral imaging data to retrieve characteristics of remote targets of interest in the presence of both clear and cloudy sky background conditions. The present method uses a supervised machine learning Partial Least Squares Regression (PLSR) algorithm, which was trained from a library of simulated radiative transfer spectra. The radiative transfer library included a large number of complex conditions, which are difficult to implement in traditional lookup table methods, but become amenable in the present method. This invention is computationally compact and efficient and can be employed for on-board sensor data processing on the ground and in space. Various tests have shown the efficiency and reliability of the present method.

A method for temperature calibration and determination of a temperature in a scene. At each time point out of a plurality of time points in a first period of time, collecting an ambient temperature representing a temperature at a first part of the scene and collecting thermal image sensor signal values corresponding to the collected ambient temperatures and relating to the first part. Determine a calibration function based on the collected ambient temperatures and the thermal image sensor signal values corresponding to each of the collected ambient temperatures. In a second period of time, capturing a thermal image of the scene comprising thermal image sensor signal values relating to a second part of the scene and determine a temperature at the second part of the scene based on the calibration function and based on thermal image sensor signal values comprised in the thermal image.

A cavity black body radiation source is provided. The cavity black body radiation source comprises a blackbody radiation cavity, a black lacquer, and a carbon nanotube layer. The blackbody radiation cavity comprises an inner surface. The black lacquer is located on the inner surface. The carbon nanotube layer is located on a surface of the black lacquer away from the blackbody radiation cavity. The carbon nanotube layer comprises a plurality of carbon nanotubes and a plurality of microporous. A method of making the cavity blackbody radiation source is 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.