A Heuristic Method for Power Pylon Reconstruction from Airborne LiDAR Data

Zhou, Ruqin; Jiang, Wanshou; Huang, Wei; Xu, Bo; Jiang, San

doi:10.3390/rs9111172

Cited by 21 publications

(13 citation statements)

References 32 publications

(45 reference statements)

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“…A more realistic model could be obtained through adopting a catenary curve model [24]. In addition, the extracted pylons would be modelled [25]. Third, the estimation of the height gap is critical to the success of the proposed method.…”

Section: Discussionmentioning

confidence: 99%

Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels

Awrangjeb

2019

Remote Sensing

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High density airborne point cloud data have become an important means for modelling and maintenance of power line corridors (PLCs). As the amount of data in a dense point cloud is large, even in a small area, automatic detection of pylon locations can offer a significant advantage by reducing the number of points that need to be processed in subsequent steps, i.e., the extraction of individual pylons and wires. However, the existing solutions mostly overlook this advantage by processing all of the available data at one time, which hinders their application to large datasets. Moreover, the presence of high vegetation and hilly terrain may challenge many of the existing methods, since vertically overlapping objects (e.g., trees and wires) may not be effectively segmented using a single height threshold. For extraction of pylons and wires, this paper proposes a novel approach which involves converting the input points at different height levels into binary masks. Long straight lines are extracted from these masks and convex hulls around the lines at individual height levels are used to form series of hulls across the height levels. The series of hulls are then projected onto a horizontal plane to form individual corridors. A number of height gaps, where there are no objects between the vegetation and the bottom-most wire, are then estimated. The height gaps along with the height levels consider the presence of hilly terrain as well as high vegetation within the PLCs. By using only the non-ground points within the extracted corridors and height gaps, the pylons are detected. The estimated height gaps are further exploited to define robust seed regions for the detected pylons. The seed regions thereafter are grown to extract the complete pylons. Finally, only the points between the locations of two successive pylons are used to extract points of individual wires. It first counts the number of wires within a power line span and, then, iteratively obtains individual wire points. When tested on two large Australian datasets, the proposed approach exhibited high object-based performance (correctness for pylons and wires of 100% and 99.6%, respectively) and high point-based performance (completeness for pylons and wires of 98.1% and 95%, respectively). Moreover, the planimetric accuracy for the detected pylons was 0.10 m. Thus, the proposed approach is demonstrated to be useful in effective extraction and modelling of pylons and wires.

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Section: Discussionmentioning

confidence: 99%

Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels

Awrangjeb

2019

Remote Sensing

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“…The current automatic reconstruction algorithm only reconstructs the frame of a quadrangular frustum pyramid [15,[18][19][20], and ignores the internal structure of the quadrangular frustum pyramid, which is usually a "left-right cross" structure from bottom to top. According to the intersection type of the upper and lower structures, the quadrangular frustum pyramid can be classified into four types: XX, XV, VX, and VV, as shown in Figure 16.…”

Section: The Internal Structure Reconstructionmentioning

confidence: 99%

Power Pylon Reconstruction Based on Abstract Template Structures Using Airborne LiDAR Data

et al. 2019

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As an important power facility for transmission corridors, automatic three-dimensional (3D) reconstruction of the pylon plays an important role in the development of smart grid. In this study, a novel three-dimensional reconstruction method using airborne LiDAR (Light Detection And Ranging) point cloud is developed and tested. First, a principal component analysis (PCA) algorithm is performed for pylon redirection based on the structural feature of the upper part of a pylon. Then, based on the structural similarity of a pylon, a pylon is divided into three parts that are inverted triangular pyramid lower structures, quadrangular frustum pyramid middle structures, and complex upper or lateral structures. The reconstruction of the inverted triangular pyramid structures and quadrangular frustum pyramid structures is based on prior knowledge and a data-driven strategy, where the 2D alpha shape algorithm is used to obtain contour points and 2D linear fitting is carried out based on the random sample consensus (RANSAC) method. Complex structures’ reconstruction is based on the priori abstract template structure and a data-driven strategy, where the abstract template structure is used to determine the topological relationship among corner points and the image processing method is used to extract corner points of the abstract template structure. The main advantages in the proposed method include: (1) Improving the accuracy of the pylon decomposition method through introducing a new feature to identify segmentation positions; (2) performing the internal structure of quadrangular frustum pyramids reconstruction; (3) establishing the abstract template structure and using image processing methods to improve computational efficiency of pylon reconstruction. Eight types of pylons are tested in this study, and the average error of pylon reconstruction is 0.32 m and the average of computational time is 0.8 s. These results provide evidence that the pylon reconstruction method developed in this study has high accuracy, efficiency, and applicability.

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“…Power pylon reconstruction: There are three kinds of strategies that are widely used for object reconstruction [2]: data-driven, model-driven, and hybrid-driven. Due to the power pylons' complex structure, the data-driven strategy is rarely used alone for their reconstruction.…”

Section: Related Workmentioning

confidence: 99%

“…However, this method was time-consuming [8], since a large proportion of iteration times were wasted in recognizing the pylon's type. Zhou et al [2] made use of the power pylons' structure, and proposed a heuristic hybrid-driven reconstruction method from airborne LiDAR data. Each power pylon was structurally decomposed into two parts: the pylon body and head, where the pylon body was reconstructed by a data-driven strategy, and a model-driven strategy was used to reconstruct the pylon head with the aid of a predefined 3D head model library.…”

Section: Related Workmentioning

confidence: 99%

“…Electricity, as one of the indispensable energies, plays an important role in the normal operation of modern societies [1]. High-voltage power lines are core components for electricity transmission over long distance and in high capacity, and as such, they have a great impact on the national economy and daily life [2]. With economic development, the demand for electricity is increasing, leading to a rapid growth of high-voltage transmission lines.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Method for High-Voltage Bundle Conductor Reconstruction from Airborne LiDAR Data

Zhou

Jiang

2018

Remote Sensing

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The security of high-voltage power transmission corridors is significantly vital to the national economy and daily life. With its rapid development, LiDAR (Light Detection and Ranging) technology has been widely applied in the inspection of transmission lines. As the basis of potential hazard detection, a robust and precise power line model is a necessary requirement for rapid and correct clearance. Thus, this paper proposes a novel method for high-voltage bundle conductor reconstruction, which can precisely reconstruct each sub-conductor. First, points in high-voltage power transmission corridors are detected and classified into four categories; second, for classified power lines, single power line spans are extracted, and bundle conductors are identified by analyzing the single spans’ fitting residuals; and then, each sub-conductor of bundle conductors is extracted by a projected dichotomy method on the XOY and XOZ planes, respectively; finally, a double-RANSAC (random sample consensus)-based algorithm was introduced to reconstruct each power line. The proposed method makes use of the distribution of bundle conductors in high-voltage transmission lines, and our experiments showed that it could preferably reconstruct the real structure of bundle conductors robustly with a high precision better than 0.2 m.

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A Heuristic Method for Power Pylon Reconstruction from Airborne LiDAR Data

Cited by 21 publications

References 32 publications

Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels

Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels

Power Pylon Reconstruction Based on Abstract Template Structures Using Airborne LiDAR Data

A Novel Method for High-Voltage Bundle Conductor Reconstruction from Airborne LiDAR Data

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