Analysis of Multi-sensor Image Fusion

As a new discipline, information fusion technology has achieved rapid development in recent years. It has been widely used in military and civil affairs and has had a major impact on human production and lifestyle. The three fusion levels of multi-sensor image fusion and the typical fusion methods at each fusion level are mainly introduced. The single fusion method has its own advantages and disadvantages. To overcome the problems of the single fusion method, a single fusion method can be combined to compare the effects of the fusion image from gray standard deviation, average gray level gradient, and entropy. It can be found that combining two single fusion methods can achieve complementary advantages, obtain better fusion effects, and analyze and summarize a variety of different fusion methods, which can provide a certain reference for the application of fusion algorithms.