wheres* is a constant analogous tos.The perfect black body (3¼1) is a theoretical approximation; in practical situations, objects radiate, absorb and transmit different portions of incident energy depending on its wavelength and angle of incidence. The sum of spectral absorbance, spectral reflectance, and spectral transmittance is equal to 1. This further complicates the
interpretation of a thermal image, since the signal detected by a TI camera will typically be a combination of energy radiated, absorbed and transmitted from surrounding bodies. Atmospheric conditions such as ambient temperature and relative humidity changes may also influence the signal acquired by the thermal camera. Consequently, it is challenging to correctly estimate the temperature of a body based on its thermogram.A number of researchers have proposed theoretical
frameworks for obtaining real-time termperature profiles from thermal images. One example is given by Bulanon,Burks, and Alchanatis (2008)who employed thermal temporal variation in a citrus canopy as a potential approach for improving fruit detection for harvesting oranges. They reported that the total radiation (ET), received by the camera
can be expressed as
wheres* is a constant analogous tos.The perfect black body (3¼1) is a theoretical approximation; in practical situations, objects radiate, absorb and transmit different portions of incident energy depending on its wavelength and angle of incidence. The sum of spectral absorbance, spectral reflectance, and spectral transmittance is equal to 1. This further complicates theinterpretation of a thermal image, since the signal detected by a TI camera will typically be a combination of energy radiated, absorbed and transmitted from surrounding bodies. Atmospheric conditions such as ambient temperature and relative humidity changes may also influence the signal acquired by the thermal camera. Consequently, it is challenging to correctly estimate the temperature of a body based on its thermogram.A number of researchers have proposed theoreticalframeworks for obtaining real-time termperature profiles from thermal images. One example is given by Bulanon,Burks, and Alchanatis (2008)who employed thermal temporal variation in a citrus canopy as a potential approach for improving fruit detection for harvesting oranges. They reported that the total radiation (ET), received by the cameracan be expressed as
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