Author(s)

Jiazhen Liu, Askar Hamdulla

Corresponding Author

Jiazhen Liu

Abstract

In the modern technology warfare, infrared weak target detection technology occupies a very important position. In civil use, the infrared weak target detection technology has also been widely applied and developed. The application and research status of infrared weak targets are briefly analyzed. The characteristics of infrared weak targets are introduced. The principles and steps of some classic improved methods for infrared small target detection methods in recent years are summarized. Finally, the differences of several classical algorithms such as Gauss filtering, mean filtering, median filtering, morphology and adaptive Wiener filtering are compared. This paper lays a foundation for the learning of infrared small target detection algorithm and is helpful to the research of improved algorithm for infrared small target detection.

Keywords

Infrared Small Target, Detection algorithm, Filtering algorithm