A Novel Approach of Laser Scanning Point Cloud Quality Assessment Using Wavelet Analysis

Fryśkowska, Anna

doi:10.1109/bgc.geomatics.2017.82

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…Wavelet analysis is used in many geometric problem solutions and point cloud processing, for example, in [29,43]. Wavelet transform represents a one-dimensional signal f (t) as a linear superposition of atomic functions called wavelets.…”

Section: Methodsmentioning

confidence: 99%

“…If there are no reference data available, the proposed no-reference method of results analysis should be applied. In the case of the no-reference method, the quality coefficients for denoising point clouds proposed by the author in [29] should be used. The quality of point clouds can be determined based on the statistical parameters of signal decomposition and decomposition in the context of data noise.…”

Section: Methodsmentioning

confidence: 99%

“…Point cloud quality is directly related to the accuracy of image correlation and depends on factors such as the accuracy of determining tie points on stereo imaging, the geometric complexity of the object, the image block geometry, the radiometric and geometric quality of the images, as well as all stages of image data processing (including interpolation, orientation and others). Point cloud quality was also introduced in [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Improvement of 3D Power Line Extraction from Multiple Low-Cost UAV Imagery Using Wavelet Analysis

Fryśkowska

2019

Sensors

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Three-dimensional (3D) mapping of power lines is very important for power line inspection. Many remotely-sensed data products like light detection and ranging (LiDAR) have been already studied for power line surveys. More and more data are being obtained via photogrammetric measurements. This increases the need for the implementation of advanced processing techniques. In recent years, there have been several developments in visualisation techniques using UAV (unmanned aerial vehicle) platform photography. The most modern of such imaging systems have the ability to generate dense point clouds. However, image-based point cloud accuracy is very often various (unstable) and dependent on the radiometric quality of images and the efficiency of image processing algorithms. The main factor influencing the point cloud quality is noise. Such problems usually arise with data obtained via low-cost UAV platforms. Therefore, generated point clouds representing power lines are usually incomplete and noisy. To obtain a complete and accurate 3D model of power lines and towers, it is necessary to develop improved data processing algorithms. The experiment tested the algorithms on power lines with different voltages. This paper presents the wavelet-based method of processing data acquired with a low-cost UAV camera. The proposed, original method involves the application of algorithms for coarse filtration and precise filtering. In addition, a new way of calculating the recommended flight height was proposed. At the end, the accuracy assessment of this two-stage filtration process was examined. For this, point quality indices were proposed. The experimental results show that the proposed algorithm improves the quality of low-cost point clouds. The proposed methods improve the accuracy of determining the parameters of the lines by more than twice. About 10% of noise is reduced by using the wavelet-based approach.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improvement of 3D Power Line Extraction from Multiple Low-Cost UAV Imagery Using Wavelet Analysis

Fryśkowska

2019

Sensors

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“…Very important is now the quality of filtered point clouds, because even small artifacts and noise can disturb the further results. (Fryskowska, 2017b) The basis of proposed method are profiles through the suspected or real/known settlement areas. The first way -comes through the real, bare earth structure and give very precise settlement shape, and the second supports identification of vegetation marks.…”

Section: Methodsmentioning

confidence: 99%

Effective Detection of Sub-Surface Archeological Features From Laser Scanning Point Clouds and Imagery Data

Fryśkowska¹,

Kędzierski²,

Walczykowski³

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The archaeological heritage is non-renewable, and any invasive research or other actions leading to the intervention of mechanical or chemical into the ground lead to the destruction of the archaeological site in whole or in part. For this reason, modern archeology is looking for alternative methods of non-destructive and non-invasive methods of new objects identification. The concept of aerial archeology is relation between the presence of the archaeological site in the particular localization, and the phenomena that in the same place can be observed on the terrain surface form airborne platform. One of the most appreciated, moreover, extremely precise, methods of such measurements is airborne laser scanning. In research airborne laser scanning point cloud with a density of 5 points/sq. m was used. Additionally unmanned aerial vehicle imagery data was acquired. Test area is located in central Europe. The preliminary verification of potentially microstructures localization was the creation of digital terrain and surface models. These models gave an information about the differences in elevation, as well as regular shapes and sizes that can be related to the former settlement/sub-surface feature. The paper presents the results of the detection of potentially sub-surface microstructure fields in the forestry area.

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Accurate Ranging Based on Transmission Line Channel Monitoring Image and Point Cloud Data Mapping

Dai¹,

Wang²,

Mao³

et al. 2022

Security and Communication Networks

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Three-dimensional (3D) mapping of power lines is essential for power line inspection. Many remotely sensed data products like light detection and ranging (LiDAR) have been examined for power line surveys. More and more data are being obtained via photogrammetric measurements. This increases the need for the implementation of advanced processing techniques. In recent years, there has been a significant advancement in visualization techniques for power lines using unmanned aerial vehicle (UAV) platform photography. The most advanced of such imaging systems can create dense point clouds. However, the accuracy is very often unstable and dependent on the radiometric quality of images and the efficiency of the image processing technique. In this study, the two-dimensional information is obtained by photographing the real-time panorama of the transmission line channel using a 3D camera, and the three-dimensional information is acquired using laser radar technology. The three-dimensional point orientation of the target object and the transmission line is determined using the mapping relationship between two and three dimensions, the obtained data are calculated, and the calculation results are produced. The proposed method can solve the problem of the image sensor being unable to map spatial distance and can provide broad coverage of the transmission line channel and 24-hours accurate real-time remote monitoring.

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A Novel Approach of Laser Scanning Point Cloud Quality Assessment Using Wavelet Analysis

Cited by 3 publications

References 12 publications

Improvement of 3D Power Line Extraction from Multiple Low-Cost UAV Imagery Using Wavelet Analysis

Improvement of 3D Power Line Extraction from Multiple Low-Cost UAV Imagery Using Wavelet Analysis

Effective Detection of Sub-Surface Archeological Features From Laser Scanning Point Clouds and Imagery Data

Accurate Ranging Based on Transmission Line Channel Monitoring Image and Point Cloud Data Mapping

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