Submarine Target Recognition Based on Gps Positioning System

Abstract

With the development of transportation and the rapid spread of travel tools, economic exchanges around the world have become more frequent. The Global Positioning System (GPS) is an all-weather, high-precision, wide-coverage electronic navigation device that plays an important role in identifying submarine targets. The key technology of GPS is the real-time accurate extraction of targets, and the essence of target extraction is image segmentation. In order to achieve the purpose of seabed target recognition, a simple and effective method is proposed. In this paper, image points of active target image features are calculated by image processing to achieve positioning of the target. The neural network is used to establish the coordinate correspondence of the target from the image space to the GPS positioning system space to locate the submarine space moving target. Based on the positioning principle of GPS technology, the navigation technology of submarine target recognition is studied. A multi-target detection experiment for submarine target location was carried out. The results show that the multi-target recognition and positioning system based on GPS positioning system combined with sonar image design, the target recognition accuracy rate is over 93%, which meets the technical requirements of the detection system. Improving the identification of submarine targets is important.