Estimation algorithm for tower footing attitude of iron tower in aerial image of unmanned aerial vehicle

Abstract

The invention relates to the field of image data processing and analysis. In order to solve the problem that an existing estimation algorithm for a tower footing attitude of an iron tower in an aerialimage cannot estimate a contrast image, the invention provides an estimation algorithm for a tower footing attitude of a iron tower in an aerial image of an unmanned aerial vehicle. The estimation algorithm comprises the following steps of: step 1, performing gray scale transformation on an aerial tower footing image and a standard tower footing image to obtain a single-channel gray scale map; step 2, carrying out gabor filtering processing and accumulation on the single-channel gray-scale image, and acquiring a gabor image; step 3, stretching the gray scale of the gabor image to obtain a gray scale stretching image; step 4, carrying out strong corner detection on the gray scale stretching graph to obtain a strong corner coordinate sequence; step 5, carrying out optical flow matching on astrong angular point sequence of the aerial tower footing image and a strong angular point sequence of the standard tower footing image, and determining an optical flow field; step 6, and conductingaffine calculation to obtain tower footing attitude parameters. The estimation algorithm can improve estimation of high and low contrast images.

Description

technical field [0001] The invention relates to the field of image data processing and analysis, more specifically, an algorithm for estimating the posture of an iron tower base in an aerial image of a drone. Background technique [0002] The transmission network connects the power production end and the power consumption end, which is an important guarantee for power transmission, and the transmission tower is one of the important components of the transmission network. After the construction of the iron tower is completed, the vegetation restoration in the base area of ​​the tower will affect the appearance of the land, which in turn will have an impact on the base of the tower. Therefore, it is necessary to monitor the vegetation restoration in the base area of ​​the iron tower, so that measures can be taken in time to prevent soil erosion and improve operational safety. The general measure is to adopt the method of personnel on duty and manual inspection. Due to the di...

AI Technical Summary

Problems solved by technology

This method uses the Hough transform algorithm to find the straight line, which has strict acquisition standards for the acquired image, requiring the straight line to have a complete pixel-level straightness, and the straight line with a certain distortion will be missed, and the output tower base apex deviates from the actual to

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