Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors

Mills, Steven; Castro, Marcos; Li, Zhengrong; Cai, Jinhai; Hayward, Ross; Mejias, Luís; Walker, Rodney A.

doi:10.1109/tgrs.2010.2046905

Cited by 80 publications

(59 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Automating the monitoring of high-voltage transmission lines is of importance to power utility companies [1]. There are two components of the automated monitoring methodology: detection of potential hazards, such as encroaching vegetation [2,3], and the analysis of power-line structural stability. Therefore, an important consideration when reconstructing 3D power-lines is to assert that the physical parameters of the cable are still within a safe margin while quickly detecting anomalies or defects [4].…”

Section: Introductionmentioning

confidence: 99%

An Improved Method for Power-Line Reconstruction from Point Cloud Data

et al. 2016

View full text Add to dashboard Cite

This paper presents a robust algorithm to reconstruct power-lines using ALS technology. Point cloud data are automatically classified into five target classes before reconstruction. In order to improve upon the defaults of only using the local shape properties of a single power-line span in traditional methods, the distribution properties of power-line group between two neighbor pylons and contextual information of related pylon objects are used to improve the reconstruction results. First, the distribution properties of power-line sets are detected using a similarity detection method. Based on the probability of neighbor points belonging to the same span, a RANSAC rule based algorithm is then introduced to reconstruct power-lines through two important advancements: reliable initial parameters fitting and efficient candidate sample detection. Our experiments indicate that the proposed method is effective for reconstruction of power-lines from complex scenarios.

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Method for Power-Line Reconstruction from Point Cloud Data

et al. 2016

View full text Add to dashboard Cite

show abstract

“…This information can be easily used to map power lines and towers and to monitor disasters, such as earthquakes and typhoons, that can harm power lines [4,5]. Optical satellite images and optical aerial images can also be used to monitor vegetation in power line corridors [6,7], although the detected results are rather coarse because of the lower spatial and temporal resolution of satellite images compared to aerial visible wavelength images. The advantages of aerial images are their high resolution and availability; thus, they are regularly used for the reconstruction of power line corridors [8].…”

Section: Introductionmentioning

confidence: 99%

Automatic Power Line Inspection Using UAV Images

et al. 2017

View full text Add to dashboard Cite

Power line inspection ensures the safe operation of a power transmission grid. Using unmanned aerial vehicle (UAV) images of power line corridors is an effective way to carry out these vital inspections. In this paper, we propose an automatic inspection method for power lines using UAV images. This method, known as the power line automatic measurement method based on epipolar constraints (PLAMEC), acquires the spatial position of the power lines. Then, the semi patch matching based on epipolar constraints (SPMEC) dense matching method is applied to automatically extract dense point clouds within the power line corridor. Obstacles can then be automatically detected by calculating the spatial distance between a power line and the point cloud representing the ground. Experimental results show that the PLAMEC automatically measures power lines effectively with a measurement accuracy consistent with that of manual stereo measurements. The height root mean square (RMS) error of the point cloud was 0.233 m, and the RMS error of the power line was 0.205 m. In addition, we verified the detected obstacles in the field and measured the distance between the canopy and power line using a laser range finder. The results show that the difference of these two distances was within ±0.5 m.

show abstract

“…It provides a valuable source of information about the environment which can be applied in many areas of human activity such as change detection in rural landscape [1,2], solar radiation modeling [3][4][5], change detection in urban areas [6,7], urban planning [8], GNSS multipath prediction [9], sound propagation modeling [10], wind flow simulation [11], power-line corridors management [12] or visibility analysis [13]. The crucial issue for the application of the DSM is its reliability.…”

Section: Introductionmentioning

confidence: 99%

Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation

Dominik

2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:In recent years, significant development in the domain of dense image matching (DIM) can be observed. Meanwhile, in most countries, aerial images are acquired countrywide on a regular basis with decreasing time intervals and increasing image overlaps. Therefore, aerial images represent a growing potential for digital surface model (DSM) acquisition and updating. Surface reconstruction by image matching, in most cases, requires dealing with the redundancy caused by multiple overlapping images. Many approaches considering this redundancy in the surface reconstruction process have been developed. However, there is no commonly accepted procedure for this task. From the experience of the author, it can be stated that currently applied methods show some limitations regarding DSM generation from aerial images. Therefore, it is claimed that there is room for the development of new algorithms for integration of dense image matching results from multiple stereo pairs. Methods dedicated to aerial image based DSM generation that would exploit the specificity of this task are desirable. In this paper, an approach to compute the DSM elevations from redundant elevation hypotheses derived by pairwise dense image matching is presented. The proposed approach takes into account the base-to-height (b/h) ratio of stereo pairs, the distribution of elevation hypotheses from multiple stereo pairs and the neighboring elevations. An algorithm of selection of the elevation hypotheses used for the calculation of the final DSM elevation for each grid cell was developed. The algorithm was used to generate the DSM based on two sets of aerial images having significantly different acquisition parameters. The results were compared to the models obtained from several commonly used software packages for image based DSM generation. The quality assessment was carried out by visual inspection of terrain profiles and shaded surface display as well as by the planarity control of flat parts of the terrain. The assessment of the results showed that the application of the proposed algorithm can bring some advantages and it can contribute to improving the quality of the DSM.

show abstract

Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors

Abstract: Overall, a small number of poles were missed with detection rates of 98% and 95% for LiDAR and stereo matching.

Cited by 80 publications

References 33 publications

An Improved Method for Power-Line Reconstruction from Point Cloud Data

An Improved Method for Power-Line Reconstruction from Point Cloud Data

Automatic Power Line Inspection Using UAV Images

Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation

Contact Info

Product

Resources

About