This paper describes a novel approach of generating radiometric scenes of natural backgrounds that will serve as an input for simulating E-O sensor scene outputs in the thermal band. The methodology is based on segmentation of a measured scene (in any spectral band) into elements that have similar thermal behavior. The thermal radiance value for each thermal element is calculated using a set of four semi empirically determined coefficients that relate the surface temperature to the local meteorological parameters such as solar radiation, longwave sky radiation, air temperature and wind speed. The thermal coefficients are determined using a theoretical model and an experimental data base. The diurnal variations of the scene are thus easily predicted by knowing the meteorological parameters and the individual set of thermal coefficients for the various thermal elements of the scene. Since the approach is based on a real scene image and an experimental database the generated images have a realistic appearance including realistic clutter properties. The generated thermal scene will serve as the input to a sensor model that will calculate the expected image of a thermal camera viewing the scene. The paper describes the methodology of the scene generation, the sensor model and demonstrates the approach by giving some examples.
Semi-empirical model-based approach for IR scene simulation
Infrared Technology and Applications XXIII ; 1997 ; Orlando,FL,USA
Proc. SPIE ; 3061
1997-08-13
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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