Object Recognition Algorithm of Sonar Image

摘要

In the target detection and recognition of underwater sonar image, object recognition is one of key technologies. With analysis and calculation, three features which have good distinguish degree are chosen to construct feature vector for classification, Clustering method, Neural network and Support vector machine were presented. Correct classification ratio can be above 95%. Simulation result indicates that features presented in this paper have characteristics such as precision and robustness, which reduce dependence of classifying result on classifier.