Evaluation of Infrared Detector Response Characteristics Drift Based on Time Sequence

Abstract

The response characteristic drift of infrared detector seriously degrades the imaging quality and system performance. Aiming at the lack of effective evaluation index and difficulty in modeling and evaluating the response characteristic drift of infrared detectors, the sequence image output by infrared detector is regarded as time sequence data, drift degree and drift entropy are defined based on time difference image to evaluate the drift degree of infrared detector response characteristics, and a method for evaluating the drift of infrared detector response characteristics based on time sequence prediction is proposed. Simulation data and real data are used for experiments. The results show that drift degree and drift entropy can effectively measure the drift degree of infrared detector response characteristics, and the evaluation method can establish the response characteristic drift model of infrared detector and realize prediction and evaluation. The research work can be used to help select appropriate infrared detectors and it’s nonuniformity correction algorithm to improve the combat performance of infrared imaging systems.

Keywords

• |infrared detector|response characteristic drift|evaluating index|time sequence analysis|lstm