中尺度涡特征提取算法及可视化研究

Research on Mesoscale Vortex Feature Extraction Algorithm and Visualization

在对海洋遥感图像数据进行处理,特征可视化检测海洋信息的过程中,中尺度涡信息检测是重要内容之一,其结果直接影响海洋中尺度涡信息反演的精度.为了提高中尺度涡信息提取的准确性,本文根据海洋中尺度涡成像的特点,基于边缘检测,运用连通区域提取技术,综合利用涡旋的形状、尺度等判据,检测图像中的旋涡闭合等值线以及提取旋涡的特征参数.采用Matlab和C#混合编程,将中尺度涡检测算法和遥感数据信息有机结合起来,实现了中尺度涡检测的自动化和可视化,提高了遥感图像的处理效率.实验表明,该方法具有较高的中尺度涡信息检测精度,检测效果理想.

In the marine remote sensing image data processing and the characteristics of visual detection in the process of marine information,mesoscale vortex information detection is one category of the important content.Its results directly affect the accuracy of marine mesoscale vortex information retrieval.In order to improve the accuracy of the mesoscale vortex information extraction,the remote sensing images are detected step by step based on the imaging characteristics of mesoscale vortex and combined the technology of connected region extraction.According to the characteristics of the marine mesoscale vortex remote images,the features of marine mesoscale vortex are detected based on edge detection and the connected region extraction technology.The closed contour of the vortex in the image and the characteristic parameters of spiral vortex are extracted based on the shape and the scale criterion of the vortex.By using Matlab and C# hybrid programming,the mesoscale vortex automatic detection and visualization software are realized by combining the mesoscale vortex detection algorithm and the remote sensing data information.This method can improve the efficiency of the remote sensing image processing.The experiment results show that this method can achieve high mesoscale vortex information detection precision and has preferable detection effect.