Abstract: Infrared detector equipment is an important part of infrared system, and to evaluate its performance has a practical significance. The main impact factor is analyzed, and environment temperature, relative humidity, visibility, radiant flux, target height and detection range are selected for evaluation index. In view of the nonlinear mapping function of neural network is good and the characteristics of high precision,the BP network evaluation model is set up, the experiment expresses that the method is simple and effective, evaluation precision is high, and has more actual application value.

Key words: Infrared detector, Neural network, Evaluation model