1. Introduction The weak target detection algorithm in infrared is an important technology for infrared warning and guidance. In real-world scenarios, the imaging distance of the target is far, the imaging area is small, and the radiation energy is low, which makes the target easily affected by noise and clutter interference. Therefore, how to separate weak targets from complex backgrounds is a challenging research topic, and many scholars have conducted in-depth research on this issue [1,2].
