Research on ship image recognition and retrieval based on deep neural network
Fast and accurate recognition of ship images is widely used in both civil and military fields.With the in-crease of ship types and the improvement of image quality,it takes a lot of time to adapt the traditional convolutional neural network to ship image recognition.In this paper,the principle of deep neural network is analyzed,and on this basis,the ship image recognition process based on deep neural network is studied,the ship image preprocessing technology is studied,the ship image training set and test set are established,and the average recognition time and recognition accuracy of YOLOV2,convolutional neural network and the algorithm in this paper are analyzed.Finally,the influence of the training times of the three algorithms on the recognition accuracy is studied.The deep neural network ship image recognition algorithm studied in this paper has certain advantages in average recognition time and recognition accuracy.
deep neural networkimage recognitionimage preprocessingtest
万方数据
维普
