Abstract: The present disclosure is directed to devices and methods for synchronizing capturing of spectral images with the capturing of thermal images. A thermal imaging device of an aerial vehicle captures a sequence of thermal image of thermal images. Capturing of spectral images by a spectral imaging device of the aerial vehicle is synchronized with the capturing of the thermal images. Irradiance data indicative of a background temperature is sensed. A digital surface model of an area of interest is generated based on the sequence of spectral images. An emissivity of a target is estimated and a temperature of a pixel of the digital surface model of the target is estimated based on the sequence of thermal images, the irradiance data indicative of the background temperature and the estimated emissivity of the target.

Abstract: The present disclosure is directed to irradiance sensing devices and methods. One such device includes a housing and an optical diffuser coupled to the housing. The housing has an opening that extends into the housing from an outer surface, and the opening has a circular shape at the outer surface of the housing. The optical diffuser has a first region that extends at least partially beyond the outer surface of the housing and a second region housed within the housing. The first region of the optical diffuser has a curved surface, and the optical diffuser includes a cavity extending at least partially into the second region.

Abstract: The present disclosure is directed to devices and methods for synchronizing capturing of spectral images with the capturing of thermal images. A thermal imaging device of an aerial vehicle captures a sequence of thermal image of thermal images. Capturing of spectral images by a spectral imaging device of the aerial vehicle is synchronized with the capturing of the thermal images. Irradiance data indicative of a background temperature is sensed. A digital surface model of an area of interest is generated based on the sequence of spectral images. An emissivity of a target is estimated and a temperature of a pixel of the digital surface model of the target is estimated based on the sequence of thermal images, the irradiance data indicative of the background temperature and the estimated emissivity of the target.

Abstract: The present disclosure is directed to devices and methods for simultaneously sensing irradiance with multiple photo sensors having different orientations, and determining direct and scattered components of the irradiance. One such device includes an aerial vehicle and an irradiance sensing device. The irradiance sensing device includes a base structure mounted to the aerial vehicle, and the base structure including a plurality of surfaces. A plurality of photo sensors are arranged on respective surfaces of the base structure, with each photo sensor having a different orientation.

Abstract: The present disclosure is directed to devices and methods for synchronizing capturing of spectral images with the capturing of thermal images. A thermal imaging device of an aerial vehicle captures a sequence of thermal image of thermal images. Capturing of spectral images by a spectral imaging device of the aerial vehicle is synchronized with the capturing of the thermal images. Irradiance data indicative of a background temperature is sensed. A digital surface model of an area of interest is generated based on the sequence of spectral images. An emissivity of a target is estimated and a temperature of a pixel of the digital surface model of the target is estimated based on the sequence of thermal images, the irradiance data indicative of the background temperature and the estimated emissivity of the target.

Abstract: The present disclosure is directed to a system and method of capturing and calibrating thermal images to provide accurate temperature information regarding an imaged area. The system includes a thermal image sensor positioned next to a non-contact temperature sensor. The system identifies pixels of the thermal image that correspond to a field of view of the temperature sensor and generates a calibration value by analyzing the pixels and the temperature information. Then the thermal image is biased or calibrated using the calibration value.

Abstract: According to aspects of the present disclosure, systems, apparatuses, and methods are provide that automate the process of finding captures of reflectance panels, detecting the particular regions of each image that represent the reflectance panel, and retrieving or otherwise obtaining reflectance information for the reflectance panel. One example reflectance panel assembly includes a reflectance panel and a machine-readable symbol.