Marine Magnetic Anomaly Partition Based on Image Texture Analysis
Author:
Affiliation:

Clc Number:

P738.3

Fund Project:

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

    Abstract: An image texture analysis method integrated Gabor filter and Gray-level co-occurrence matrix is used to extract the texture features of marine magnetic anomalies. Using OKMS clustering algorithm realized magnetic anomaly field partition of different texture features .The model test and actual application results show that image texture analysis method integrated Gabor filter and Gray-level co-occurrence matrix can effectively extract the texture characteristics information of magnetic anomalies. The partition results of Caroline Marine magnetic anomaly show that Caroline plate magnetic anomaly can be divided into 11 areas, partition results coincide well with strip magnetic anomaly areas and magmatic activity areas,and this method provides a reference for processing and interpretation of magnetic anomaly

    Reference
    Related
    Cited by
Get Citation

吴健生,耿德祥,王明明. Marine Magnetic Anomaly Partition Based on Image Texture Analysis[J].同济大学学报(自然科学版),2017,45(05):0776~0781

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 09,2016
  • Revised:March 20,2017
  • Adopted:February 16,2017
  • Online: July 20,2017
  • Published: