A new small and dim targets detection and recognition algorithm based on infrared dual bands imaging system

Abstract

In this paper, infrared radiation characteristics in different bands of flight targets, background and decoys are analyzed. According to the analytical results, a new small and dim targets detection and recognition algorithm based on infrared dual bands is present. Infrared dual bands imaging system includes infrared mid-wavelength imaging system and infrared long-wavelength imaging system. Images from these two imaging system are registered in time and space firstly. After background suppression, then the small and dim targets are detected from MW infrared images and LW infrared images respectively. At last, by using spatial correlation and spectral correlation of targets, interferes and decoys are eliminated from target candidates. The genuine targets are separated and recognized. The algorithm is applied to simulation dual bands images and real infrared dual band images. The experimental results show that the algorithm present in this paper is effective.