Automatic Identification Of Underwater Targets' Detection Based On Brillouin Scattering

In order to counter amplitude modulation detection technology, people invented the stealth technology. With the emergence of some new material, as well as stealth technology continues to improve and refine, the traditional AM detection technology will soon exit the stage of history in certain application areas. The stimulated Brillouin scattering detection technology as a non-contact FM detection technology, has excellent anti-stealth features and anti-jamming capability, and no damage to the detection of samples and so on. According to the scholars estimate: this type of detection technology in the near future will be the rapid development and wide application, especially its anti-invisibility of the military in the area of application of great importance.Stimulated Brillouin scattering of underwater target detection The basic principle is: Because the water Brillouin scattering occurs only in the water, so when there is an object somewhere in the water exist, there would be no water, and when the laser scanning to the position, but there is no Brillouin scattering occurs, it can be adopted to determine whether the Brillouin scattering signal to determine whether there is an object exists underwater.Due to stimulated Brillouin scattering detection technology is still in the theoretical study and experimental exploratory stage, so the Brillouin scattering of underwater exploration target automatic recognition also in the initial stage. For the automatic recognition of underwater target detection, at home and abroad has been considered to be a prominent problem, the world's countries are committed to its study. The past, stimulated Brillouin scattering to detect underwater target recognition are on the computer for manual interpretation. This manual interpretation of the identification method for real-time detection is extremely unfavorable. To change this manually identify the status of interpretation, truly stimulated Brillouin scattering of underwater target detection systems, real-time detection and automatic identification, the paper by stimulated Brillouin scattering of underwater target detection for automatic recognition of a number of useful attempt.In this paper, image processing, feature extraction, sentence recognition in three areas to address the automatic underwater target identification problem. On stimulated Brillouin scattering to detect underwater target recognition, this paper presents two kinds of identification programs. The first option is to detect the signal directly to the FP standard form of interference by the image extracting its characteristics, and then use the relatively simple model of two classes according to the image sensor features a single judge or a bicyclic ring images images, the final adoption of the preparation of VC software to achieve the kinds of recognition algorithm. The second program is to identify the computer simulation, based on the interference with the lab to get the image as training samples, pairs of BP neural network model to train the network model and then apply the image to identify the test samples to detect the neural network recognition effect. This completion of the program of the above-mentioned two kinds of identification of the work carried out on their computer simulation and obtained good results.End of this article from the recognition accuracy and recognition speed of these two kinds of identification are two aspects of program analysis and comparison of obtained neural network-based automatic recognition of underwater target detection programs that identify a higher recognition rate. This real-time monitoring is very beneficial in practical applications more feasible.