Research on Mesoscale Vortex Feature Extraction Algorithm and Visualization
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    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.

    Reference
    Related
    Cited by
Get Citation

葛艳,刘缵然,李海涛.中尺度涡特征提取算法及可视化研究.计算机系统应用,2018,27(12):116-122

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 02,2018
  • Revised:April 27,2018
  • Adopted:
  • Online: December 05,2018
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063