Automatic extraction method and device for coal mining subsidence ground fissures and storage medium

Abstract

The invention provides a coal mining subsidence ground fissure automatic extraction method and device and a storage medium, and the method comprises the steps: collecting a plurality of unmanned plane images, carrying out the image splicing, obtaining a ground fissure monitoring region orthoimage, carrying out the geometric correction of the orthoimage, and converting the orthoimage into a first gray image; gaussian matched filtering of different rotation angles is carried out on the first gray level image, a second gray level image with the ground fracture information having the maximum response to Gaussian matched filtering of the corresponding rotation angle is obtained, and the corresponding rotation angle is recorded as a target rotation angle; performing Gaussian first-order derivative filtering processing on the first grayscale image at the target rotation angle to obtain a third grayscale image; performing linear operation on the second grayscale image and the third grayscale image to obtain a fourth grayscale image; performing ground fracture primary extraction by using the fourth gray level image; noise in the primarily extracted ground fracture is eliminated through a morphological filtering method of path opening operation, and fine extraction of the ground fracture is achieved. According to the invention, the coal mining subsidence ground fracture distribution and form information can be rapidly and accurately obtained.

Description

technical field [0001] The disclosure relates to the field of unmanned aerial vehicle photogrammetry and image processing, and in particular to a method, device and storage medium for automatic extraction of ground fissures in coal mining subsidence. Background technique [0002] China is a big country in energy production and consumption, and coal resources have long dominated the structure of energy production and consumption. In 2018, China's total coal production reached 3.95 billion tons. The ecological environment in the arid area of ​​Northwest China is fragile, and it is also a key construction area of ​​China's coal industry. The impact of underground coal mining activities on the surface ecological environment in this area is mainly due to the large number of ground fissures caused by surface deformation. Existing studies have shown that the appearance of ground fissures in coal mining subsidence leads to changes in soil properties, soil quality, and surface soil w...

AI Technical Summary

Problems solved by technology

However, most applications of ground fissure extraction based on UAV photogrammetry and remote sensing still use visual interpretation, that is, manual drawing of ground fissure distribution maps from UAV high-resolution images, without automatic extraction, which consumes a lot of resources. Manpower and material resources

However, the existing automatic detection methods for ground fissures in mining areas are mostly experimental researches, and regional verification experiments at the scale of coal mining face have not been carried out. Only a few automatic detection methods have been successfully applied to the extraction of ground fissures in coal mining subsidence in wind-blown sandy areas in western my country.

However, the topography and geomorphology of the wind-blown sandy areas in the west are relatively simple, and this type of automatic extraction method may not be applicable or the effect is poor when facing areas with complex topography and geomorphology such as loess gully areas

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