A new method of linear anomaly analysis and extraction in mining area

Abstract

The invention discloses a novel method for analyzing and extracting linear anomalies in mining areas. Preliminary linear feature extraction; pattern analysis and filtering are performed on the obtained linear features, firstly, the obtained image is segmented, and the color image is converted into a grayscale image; the obtained image is binarized, and the image noise is removed by applying a Gaussian low-pass filter , perform a morphological opening operation on the binary image obtained after denoising, remove small objects in the area, reverse the thinned area as noise, and continue to refine the line area in the image; The morphological expansion operation removes all the extracted short line types on the region image to obtain the effective line types in the image. The beneficial effect of the present invention is that the linear extraction process for the abnormal data with linear features achieves better results.

Description

technical field [0001] The invention belongs to the technical field of geology and relates to a novel method for analyzing and extracting linear anomalies in mining areas. Background technique [0002] The detailed interpretation and study of oceanic structural features is of great scientific significance for the prediction of the origin and size of hydrothermal deposits, as well as for wider research and application. At present, although there have been many discoveries and researches on the hydrothermal deposits and structural backgrounds of the Atlantic Ridge, especially the North Atlantic Ridge, the grasp of the oceanic structural features is not fine and comprehensive enough. For hydrothermal areas with detailed investigation data, without detailed structural interpretation and research, it is impossible to have sufficient further analysis and utilization. Because the terrain fluctuations formed by crustal changes or material eruptions and fillings not only have trends...

AI Technical Summary

Problems solved by technology

Because the terrain fluctuations formed by crustal changes or material eruptions and fillings have not only trends, but also local area inhomogeneities, traditional topographic data interpretation is generally reflected by contour lines or grayscale color systems. This method is because It is the overall numerical statistics of regional data, and it is easy to only reflect the large topographic trend and ignore the small topographic relief anomalies. However, in a complex mineralization environment, small topographic anomalies may be the result and sign of ore deposits or deposits

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