水下目标声图像特征分析与二次处理

Analysis and Reprocess of Acoustical Imaging

水声环境极其复杂,多途、混响等因素对水中传播的声信号造成的畸变,使得水下目标声成像的分辨率和清晰度受到很大影响。在总结水声目标声图像特征的基础上,深入开展了水声目标图像增强、图像处理的研究,主要内容包括:水声目标图像特征分析、目标图像的二次处理方法、图像处理仿真研究等内容。在图像增强处理的过程中,采用Sobel算子、Prewitt算子、LOG算子和Canny算子。仿真结果显示处理后的水声图像其轮廓比较清晰,图像质量得到了改善,为鱼雷通过图像识别目标要害部位并实施精确打击奠定了基础。

Underwater environment is very complex. Many factors such as multipath, reverberation make the acoustic signal distorted. It will affect the acoustic imaging in both resolution and articulation. Acoustical imaging processing and enhancement are deeply studied on the basis of summarizing characteristics of target imaging in this paper, including analysis and reprocess of target imaging, simulation of image processing. Sobel, Prewitt, LOG,Canny operators are used in the process of image enhancement. Simulation result shows that processed imaging profile can be more smoothed, and the acoustical imaging quality can be improved,which lay a solid foundation for torpedo to attack the target.