Marine Magnetic Anomaly Partition Based on Image Texture Analysis

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