Research on decision fusion in underwater target recognition

Aimed at enhancing the adaptive information fusion capability of underwater target recognition in complex environment, we employed the decision fusion technology based on the Dempster-Shafer Theory. The information fusion model presented in this paper utilized neural networks and fuzzy theory, which is the basic theory for this model, to analyze the uncertainty of probe and apply it to information fusion of underwater target recognition. By fusing several target features, the model was able to improve the recognition ratio for targets. Through the treatment of experimental data, this paper validated that the method does increase the accuracy and validity of underwater target recognition and the credibility had been greatly improved.