Study Of Algorithm For Infrared Small Target Detection In Clouds Background

Infrared small and dim target detection, tracking and recognition technology is one of the key technologies that expand the role of weapons distance-guided system and strengthen the defense capabilities of the system. In this article, the study focuses on the algorithm for small and dim target detection under clouds background. Firstly, through analyzing the characteristics of actual infrared small and dim target image, the author makes the model of infrared image. Secondly, the author simulates three cloud background infrared images by high-pass filtering in the airspace and the max-median filtering. After analysis, a conclusion is drawn out: the main factors that inhibit strong cloud edge are the performance of the background leak. Thirdly, the author inhibits cloud background with single-structural element morphology, and then points out that the algorithm can not suppress the edge of the cloud in different directions. Against the edge of the cloud structure, the author brings forth infrared small target detection algorithm on the basis of multi-structural element morphology, then describes in detail the principles and structure of such multi-structural elements, especially the structuring of them, and also makes a simulated experiment of such algorithm. The results show that the algorithm can better improve the noise ratio, reduce the candidate target points of single-frame detection, thus enhance the detection capability of single frame target, and adapt to background clouds with various characteristics, providing favorable conditions for the follow-up sequence detection and tracking. Finally, the author track the candidate target points with piped filtering, and then the target trajectory is made clear, verifying the effectiveness of the infrared small target detection algorithm. The paper finally is ended with a conclusion to this paper and a forecasting of follow-up working.