Abstract:
This paper describes a mathematical approach for modeling an infrared imaging camera. The complete imaging system has been divided into many subsystems. Each subsystem is then modeled individually and all such subsystems are then combined to give a complete system. The expressions for Modulation Transfer Functions (MTF) of all the subsystems and the complete systems are calculated and are then graphically exhibited to predict the performance of the system in narrow and wide field of view Noise equivalent temperature difference (NETD) and minimum resolvable temperature difference (MRTD) which are the two main parameters to evaluate the performance of the imaging camera are also evaluated as a function of range and spatial frequency respectively. Finally, detection, recognition and identification range of the system are shown graphically at a 50% probability.
Page(s):
223-228
DOI:
DOI not available
Published:
Journal: Science International, Volume: 15, Issue: 3, Year: 2003