Research On NVThermIP-based Performance Evaluation Of Infrared Imaging Systems

With the innovation of infrared imaging technology,the performance evaluation of the infrared imaging system plays an indispensable role in the general technology.Therefore,the establishment of a comprehensive,scientific and reasonable performance evaluation model is a prerequisite for accurate prediction of the performance of the imaging system,and is also an effective technology to design and develop high performance imaging system.Based on the previous studies,this paper analyzes the key problems that need to be solved urgently in the current research and the factors limiting the development of performance evaluation techniques.The main research directions of this paper are listed.(1)Through the improvement to the deficiencies of the inherent physical effect evaluation methods to enhance the accuracy and reliability of the performance evaluation model.(2)In order to meet the needs of performance optimization design,performance parameters provided by product design and production requirements must be selected correctly to achieve an organic combination of performance evaluation model and imaging system.According to the above methods and approaches,the following work has been carried out based on the widely used NVTherm IP model in this paper.(1)Analysizing the quantitative methods of the typical physical effects on infrared imaging system.The modeling theory and process of NVTherm IP model are introduced in detail.The simulation results give a visual representation of performance evaluation of infrared imaging systems.(2)According to the influence mechanism of the under sampling effect on the acquisition performance of the target and the deficiency of the quantization method in the NVTherm IP model,the target-characteristics-based Equivalent blur model for under-sampled imaging systems is proposed.The degradation of the target image by under sampling effect has been linked to the size of the target and the distance of observation,and the tolerance of the under-sampling system to the spurious response is introduced into the model.The validity of the new model and the traditional model are compared to verify by the experimental data.(3)The limitations of the NVTherm IP model using to guide the design and production of the system and the deficiencies of the early theoretical basis for system optimization design are analysizing.Noise equivalent temperature difference(NETD)is introduced to revise and perfect the NVTherm IP model combined with the theory of human eye noise.Then the accuracy of the proposed method is verified by two experiments.Finally,the improved NVTherm IP model is used to discuss and analyze the overall performance of the system from two aspects of resolution and sensitivity.