| The sea wave observation equipment is the original image data acquired by the X wave radar, and the wave echo signal is analyzed, and the basic information of the ocean waves is obtained by the correlation inversion algorithm. In this paper, based on the actual research projects of the project team, based on the original image data collected by the X radar, the radar image is studied to meet the accuracy of the ocean wave parameters.In the rain, the rain is not only found in the atmosphere of the radar electromagnetic wave propagation, but also the impact of the surface of the ocean, the roughness of the surface of the ocean, so as to affect the echo of radar echo signal characteristics. Firstly, the traditional image recognition method of radar echo image of rainfall intensity and the mean difference coefficient is based on the study, the research results show that this method has good recognition rate, but is vulnerable to the influence of the sea. This paper presents the recognition of rainfall radar image by statistical method of radar image zero strength percentage, and considering the influence of sea change on the statistical results, the statistics on the percentage of zero intensity of radar image occlusion, and proved by the statistical radar image occlusion better recognition effect of zero strength percentage in the region through experiment. Compared with the traditional method of using echo mean and differential coefficient method, the success rate of this method is higher.In this paper,the radar image recognition algorithm is designed and realized ".Firstly,the function requirement analysis of the radar rainfall image recognition and display software is carried out. The software is divided into 5 independent modules, which are the radar raw image display module, the pixel information display module, the radar image processing module,the radar original image preprocessing module and the rainfall radar image recognition module. Then the software design is carried out, and the specific function of each module is described in detail using UML modeling language. Finally, according to the requirement analysis and design of the software, the software is designed in detail.At last, the software testing method is introduced, and the 5 functional modules of the software are tested by combining the characteristics of the radar rainfall image recognition and display software. The test results show that the software can realize the function of radar original image, the information of the pixels, the function of the radar image, the noise of radar image, and the recognition of the radar images. |
