Geological linear body extraction method based on tensor voting coupled with hough transformation

Abstract

The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This patent application is a National Stage Entry of PCT / CN2018 / 105966 filed on Sep. 17, 2018, which claims the benefit and priority of Chinese Patent Application No. 201810121330.4 filed on Feb. 7, 2018, the disclosures of which are incorporated by reference herein in their entirety as part of the present application.BACKGROUND[0002]The present disclosure relates to the field of remote sensing geology and image processing technologies, and more particularly, to a geological linear body extraction method based on tensor voting coupled with Hough transformation.[0003]Geological structures such as fault regions and faults belong to geologically weak regions, and they may form linear landforms due to erosion effects and the like. Under the action of the geological structures, these linear landforms generally present obvious linear distribution on remote sensing images, which are referred to as geological linear bodies. These geological linea...

AI Technical Summary

Benefits of technology

[0013]Step 3, performing sharpening processing on the remote sensing image combined by the optimal wavebands by using Gaussian high-pass filtering to enhance linearized edge information;

[0035]Step 52: converting the coordinates corresponding to the peak point in the parameter coordinate system into the image coordinate system, and connecting the edge points according to the direction of the edge points and distance of the endpoint to obtain an image of the geological linear body, thereby completing the extraction of the geological linear body. Compared with the existing technologies, the present disclosure has the following technical effects.

[0036]1. Combining algorithms and rules such as waveband selection, image enhancement, boundary detection, and linear extraction, the present disclosure provides a geological linear body extraction method based on tensor voting coupled with Hough transformation. Compared with simple visual interpretation methods, this method relies less on knowledge and experience of interpretation experts, thereby considerably shortening the time of processing, saving a vast amount of manpower, and thus having a greater practical value and a promotion significance.

[0037]2. Compared with the Canny edge detection algorithm, the edge detection algorithm based on tensor voting can provide a boundary detection on the basis of an edge detection, and also can provide tensor voting on a grayscale image directly using a two-dimensional circular voting domain, then provide a voting interpretation and provide a boundary extraction based on the saliency of boundary characteristics. This edge detection algorithm based on tensor voting has robustness.

[0038]3. The present disclosure can process multi-source remote sensing data, provide more balanced parameter setting, have better universality, and have a greater indicative effect on regional tectonic evolution and plate movement direction.

Problems solved by technology

In view of deficiencies of existing technologies, embodiments of the present disclosure provide a geological linear body extraction method based on tensor voting coupled with Hough transformation, so as to solve the problem that the existing technologies rely on experience and knowledge of interpretation experts, and are time and labor consuming, low in efficiency, slow in processing speed, high in noise, and poor in universality.

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