Automatic power line extraction algorithm for aerial image under complex background

doi:10.13474/j.cnki.11-2246.2022.0107

Abstract

Abstract: The key problem of UAV power line inspection is how to accurately extract power lines from aerial images with complex background. This paper proposes a new algorithm for power line extraction based on two-dimensional variational mode decomposition (2D-VMD). Firstly, the original aerial image is preprocessed to speed up data processing. Secondly, 2D-VMD algorithm is utilized to decompose the preprocessed image. The IMF component graph with power line features is selected by the improved point sharpness algorithm and edge detection is performed by Roberts operator. Finally, the power lines are extracted by morphological modification of Hough transform. Experimental results show that the proposed method is more accurate, noise resistant and automatic than the traditional Canny edge detection combined with Hough transform method, line segment detector (LSD) method, Roberts edge detection and morphological improved Hough transform method.

Key words: complex background, two-dimensional variational mode decomposition (2D-VMD), Roberts algorithm, morphology, Hough transform

CLC Number:

CHEN Zhu'an, ZOU Zilong, XU Zhifang, PENG Jiaqi, SHI Chenjing, HONG Zhiqiang. Automatic power line extraction algorithm for aerial image under complex background[J]. Bulletin of Surveying and Mapping, 2022, 0(4): 37-43.

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