Image Target Recognition Technology Research And Application

Target recognition is valued in military affairs. Although the researches in automated target detection from aerial and remote sensing imagery have made great progress in recent years, there is still no commonly accepted method. The difficulties come not only from the complexity of scene itself, but also from the weak knowledge about the principle of human visual perception.There are two basic target recognition algorithms. One of them is processed from bottom to top, which is called data-driving method. This traditional method is most often used in object as airplane, workpiece, etc. The other is processed from top to bottom, which is called knowledge-driving method. This one is always used in extracting road, bridge and runway from complex scene. This paper presents adequate research on the later one.Image segmentation techniques involving region segmentation and line feature extraction which are the foundation of our research are introduced. And the other concerning methods have been referred and exemplified.It has been well recognized that the expression and the application of knowledge play a key role in target recognition. The definition of the knowledge and several expression methods of the knowledge are introduced. On the basis of it, this paper gives a set of flow on how to extract target from complex scene based on the knowledge.At the final of this paper, two algorithms on man-made object recognition are present. Algorithm on runway recognition is based on linear feature extraction and the algorithm on bridge recognition is focused on region character analysis. All of them are robust and realtime. And a simulation tracking system is designed based on runway recognition algorithm.