Comparison of aircraft target recognition methods based on ISAR images

Air warfare is a complex and dynamic environment. In order to gain the initiative in warfare, all kinds of preparations must be made thoroughly before the battle. For example, the acquisition of battlefield information, the processing of battlefield information, the identification and tracking of enemy targets and so on. With absolute information superiority and one-way transparency on the battlefield, it is easier to hit targets faster and more accurately. Therefore, image based information acquisition, processing and target identification and tracking technology has become a popular military research topic internationally. By imaging the aircraft target data through MATLAB, the ISAR images of different aircraft targets can be compared about two recognition methods, KNN and SVM, using Python. For this idea, the comparison of aircraft target recognition methods is proposed to compare different aircraft target data recognition and verify the recognition effect of aircraft targets under different classifiers.